Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151153
Varun Goel, H. Kumar
This paper analyzes the transient behavior of the ITO/PQT-12/CdSe QDs/Au-based photodetector to study the pyro-phototronic effect. The colloidal CdSe Quantum Dots (QDs) used in the device has been prepared using the bottom-up hot injection method (average particle size is 4.69 nm) and deposited using the spin coating technique. PQT-12 is deposited using both drop cast and spin coating techniques. The device’s behavior study has been performed under self-bias (0-V). Utilizing pyroelectric materials like CdSe and PQT-12 initiates the pyro-phototronic effect during light transients. The study was carried out under UV and white light sources controlled using Arduino UNO. The device shows 4-stages of the pyro-phototronic effect, starting from switching the light ON to the stable thermal condition. A comparative study using UV light and white light LED sources has been presented. The device under consideration shows a quick response to UV light with a rise and fall time of 9.68 and 10.9 ms, respectively.
{"title":"Study of Pyro-phototronic Effect in ITO/PQT-12 /CdSe QDs/Au based Self-Powered Photodetector","authors":"Varun Goel, H. Kumar","doi":"10.1109/REEDCON57544.2023.10151153","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151153","url":null,"abstract":"This paper analyzes the transient behavior of the ITO/PQT-12/CdSe QDs/Au-based photodetector to study the pyro-phototronic effect. The colloidal CdSe Quantum Dots (QDs) used in the device has been prepared using the bottom-up hot injection method (average particle size is 4.69 nm) and deposited using the spin coating technique. PQT-12 is deposited using both drop cast and spin coating techniques. The device’s behavior study has been performed under self-bias (0-V). Utilizing pyroelectric materials like CdSe and PQT-12 initiates the pyro-phototronic effect during light transients. The study was carried out under UV and white light sources controlled using Arduino UNO. The device shows 4-stages of the pyro-phototronic effect, starting from switching the light ON to the stable thermal condition. A comparative study using UV light and white light LED sources has been presented. The device under consideration shows a quick response to UV light with a rise and fall time of 9.68 and 10.9 ms, respectively.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122504845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151262
N. Chothani, D. Patel, A. Desai
Conventional transformer used in power grid occupies large space and it has a complex electromagnetic characteristic. Due to advancements in electronics and digital technology, it is possible to develop a solid-state transformer (SST). The issues like nonlinear characteristics, oil leakage, and large size with conventional transformers can certainly be eliminated by SST. It can be easily controllable and is also able to transfer power smoothly. SST compose of three main parts; converts to generate high-frequency supply, isolating transformer, and again converter to produce low-frequency supply. The boost rectifier used in STT is elaborated on in this article. Here, a power electronic transformer operating at high frequency is proposed for the integration of distributed resources in place of an electromagnetic transformer. MATLAB software is used for modeling of one-phase rectifier with the Hysteresis Current Control (HCC) technique to boost the voltage. An effective control strategy is designed with a PI controller and HCC to attain a unity power factor and reduces the total harmonic distortion (THD). It is to be noted that the outcome of hysteresis current control in terms of THD is better than fixed frequency-based current control.
{"title":"Hysteresis Current Control-based Boost Rectifier Analysis for Single Phase Solid State Transformer","authors":"N. Chothani, D. Patel, A. Desai","doi":"10.1109/REEDCON57544.2023.10151262","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151262","url":null,"abstract":"Conventional transformer used in power grid occupies large space and it has a complex electromagnetic characteristic. Due to advancements in electronics and digital technology, it is possible to develop a solid-state transformer (SST). The issues like nonlinear characteristics, oil leakage, and large size with conventional transformers can certainly be eliminated by SST. It can be easily controllable and is also able to transfer power smoothly. SST compose of three main parts; converts to generate high-frequency supply, isolating transformer, and again converter to produce low-frequency supply. The boost rectifier used in STT is elaborated on in this article. Here, a power electronic transformer operating at high frequency is proposed for the integration of distributed resources in place of an electromagnetic transformer. MATLAB software is used for modeling of one-phase rectifier with the Hysteresis Current Control (HCC) technique to boost the voltage. An effective control strategy is designed with a PI controller and HCC to attain a unity power factor and reduces the total harmonic distortion (THD). It is to be noted that the outcome of hysteresis current control in terms of THD is better than fixed frequency-based current control.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125772018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151392
Kanwarpartap Singh Gill, Rupesh Gupta
Kidney disease is a serious public health issue that is spreading around the world. According to estimates, 10% of people globally suffer from chronic kidney disease, which is one of the main causes of mortality and disability. Hence, for early identification, prevention, and disease treatment, precise prediction of renal disease is crucial. Overall, renal disease prediction is important for research because it can improve patient outcomes, tailor care, and lead to the creation of fresh preventative and therapeutic approaches. In order to forecast renal illness for this study's GridSearchCV with 10-fold cross-validation, we must first import the required libraries and load the dataset. Secondly, dividing the dataset into features and labels to prepare it for modelling. We created a pipeline that comprises preprocessing procedures and a machine learning algorithm after dividing the data into training and testing sets. Then, using 10-fold cross-validation, fit the GridSearchCV object to the training data after establishing the hyperparameters to search over and using it. Lastly, we forecasted renal illness on the test set using the best estimator discovered by GridSearchCV, and assessed the model's performance using measures like accuracy, precision, and recall.
{"title":"Chronic Kidney Disease Detection Using GridSearchCV Cross Validation Method","authors":"Kanwarpartap Singh Gill, Rupesh Gupta","doi":"10.1109/REEDCON57544.2023.10151392","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151392","url":null,"abstract":"Kidney disease is a serious public health issue that is spreading around the world. According to estimates, 10% of people globally suffer from chronic kidney disease, which is one of the main causes of mortality and disability. Hence, for early identification, prevention, and disease treatment, precise prediction of renal disease is crucial. Overall, renal disease prediction is important for research because it can improve patient outcomes, tailor care, and lead to the creation of fresh preventative and therapeutic approaches. In order to forecast renal illness for this study's GridSearchCV with 10-fold cross-validation, we must first import the required libraries and load the dataset. Secondly, dividing the dataset into features and labels to prepare it for modelling. We created a pipeline that comprises preprocessing procedures and a machine learning algorithm after dividing the data into training and testing sets. Then, using 10-fold cross-validation, fit the GridSearchCV object to the training data after establishing the hyperparameters to search over and using it. Lastly, we forecasted renal illness on the test set using the best estimator discovered by GridSearchCV, and assessed the model's performance using measures like accuracy, precision, and recall.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127538697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151183
Ankur Singh Rana, K. Jnaneswar, M. Thomas
A protection methodology based on traveling wave using Discrete Wavelet Transform (DWT) in a multi-terminal radial microgrid (MG) network has been proposed in this paper. The proposed method utilizes a hybrid scheme, combination of super-imposed Root Mean Square (RMS) current method Discrete Wavelet Transform technique, to locate the fault in radial microgrid structure. This paper first uses superimposed current to detect and identify the fault section, then DWT to locate the fault, by capturing the traveling wave during fault. Further, the proposed scheme requires minimal number of Intelligent Electronic Devices (IEDs). This scheme is tested on IEEE 33 bus system in EMTDC/PSCAD for various test cases such as variations in fault resistance and inception angle for all types of faults in all different sections. Outcome of test results shows algorithm has less errors and the error values in fault location mainly depends on the DG location in the system
{"title":"Fault Location Identification Using Hybrid Scheme in AC Microgrid","authors":"Ankur Singh Rana, K. Jnaneswar, M. Thomas","doi":"10.1109/REEDCON57544.2023.10151183","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151183","url":null,"abstract":"A protection methodology based on traveling wave using Discrete Wavelet Transform (DWT) in a multi-terminal radial microgrid (MG) network has been proposed in this paper. The proposed method utilizes a hybrid scheme, combination of super-imposed Root Mean Square (RMS) current method Discrete Wavelet Transform technique, to locate the fault in radial microgrid structure. This paper first uses superimposed current to detect and identify the fault section, then DWT to locate the fault, by capturing the traveling wave during fault. Further, the proposed scheme requires minimal number of Intelligent Electronic Devices (IEDs). This scheme is tested on IEEE 33 bus system in EMTDC/PSCAD for various test cases such as variations in fault resistance and inception angle for all types of faults in all different sections. Outcome of test results shows algorithm has less errors and the error values in fault location mainly depends on the DG location in the system","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114345866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151117
Swapnasis Satpathy, P. K. Sahoo, Twinkle Kisku
Renewable energy systems are becoming more and more common as people turn away from conventional energy sources. Microgrids are incorporated with renewable energy sources as they guarantee an economically and environmentally sound solution. The main problem arises when electric vehicle charging stations are integrated with microgrids. It would be required for the microgrid to have a synchronized and optimal charging system in order to accommodate several EVs. Using the HOMER Grid software, various configurations are simulated in this paper. Various renewable energy sources, tariff plans, and size of the components are used to create the configuration to determine the system that performs the best economically and environmentally. With regard to factors such as annual energy costs, cost reductions, and carbon emissions, among other things, a comparison of the current system with the optimized system is performed. As a result, the NPC, O&M and LCOE of the system decreased by ₹ 2.56M, ₹ 4.52L, and ₹ 4.03 respectively and the carbon emissions got reduced significantly.
{"title":"Modelling of an Electric Vehicle Charging Station Incorporating Optimal Sizing and Cost","authors":"Swapnasis Satpathy, P. K. Sahoo, Twinkle Kisku","doi":"10.1109/REEDCON57544.2023.10151117","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151117","url":null,"abstract":"Renewable energy systems are becoming more and more common as people turn away from conventional energy sources. Microgrids are incorporated with renewable energy sources as they guarantee an economically and environmentally sound solution. The main problem arises when electric vehicle charging stations are integrated with microgrids. It would be required for the microgrid to have a synchronized and optimal charging system in order to accommodate several EVs. Using the HOMER Grid software, various configurations are simulated in this paper. Various renewable energy sources, tariff plans, and size of the components are used to create the configuration to determine the system that performs the best economically and environmentally. With regard to factors such as annual energy costs, cost reductions, and carbon emissions, among other things, a comparison of the current system with the optimized system is performed. As a result, the NPC, O&M and LCOE of the system decreased by ₹ 2.56M, ₹ 4.52L, and ₹ 4.03 respectively and the carbon emissions got reduced significantly.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122696413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151021
Mir Tabish Altaf, H. Fatima, M. Jamil
The degradation of batteries is so harsh due to the rapid charging and discharging cycles which are associated with the quick discharge of the battery and the effect on the battery performance due to high peak current. When the battery is unable to support the load for the required time, forces the user to use oversized energy storage systems, which can supply the amount of energy required but the constraints on the size, weight, and capital must be satisfied. This study shows the effect of peak current on the performance of the Battery, and how to prevent such reduction in time by properly handling the usage of the energy storage systems. This study contains a simulated MATLAB model, and a comparison is made on different peak current levels, keeping the parameters like ambient temperature and current rate fixed. From the analysis, the loss in the battery support time with the peak of the discharge current is obtained.
{"title":"Effect of peak current on battery performance","authors":"Mir Tabish Altaf, H. Fatima, M. Jamil","doi":"10.1109/REEDCON57544.2023.10151021","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151021","url":null,"abstract":"The degradation of batteries is so harsh due to the rapid charging and discharging cycles which are associated with the quick discharge of the battery and the effect on the battery performance due to high peak current. When the battery is unable to support the load for the required time, forces the user to use oversized energy storage systems, which can supply the amount of energy required but the constraints on the size, weight, and capital must be satisfied. This study shows the effect of peak current on the performance of the Battery, and how to prevent such reduction in time by properly handling the usage of the energy storage systems. This study contains a simulated MATLAB model, and a comparison is made on different peak current levels, keeping the parameters like ambient temperature and current rate fixed. From the analysis, the loss in the battery support time with the peak of the discharge current is obtained.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125958423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151029
Rudresh Pillai, N. Sharma, Rupesh Gupta
Skin cancer is a lethal condition that, if not detected in its early stages, becomes more difficult to cure and can have fatal outcomes. Thus, skin cancer must be diagnosed accurately, precisely, and as early as possible so that it doesn't progress into further stages. Traditional methods for diagnosing skin cancer involve numerous tests and consultations with dermatologist experts. Because many kinds of skin cancer might seem similar, especially in their early stages, correct skin cancer detection can be challenging, even for dermatologist experts. This paper proposed a Convolutional Neural Network (CNN) for diagnosing and stratifying skin cancer into seven classes. The proposed CNN model consists of 26 layers. The images utilized for training and testing the model were obtained from the HAM10000 dataset, which was then augmented using various techniques and then classified by the proposed CNN model into seven labeled classes, including AKIEC, BCC, BKL, DF, MEL, NV, and VASC. The presented CNN model was shown to have a high accuracy of 99.94%, outperforming state-of-the-art algorithms for accurately diagnosing and categorizing skin cancer. This paper aims to prevent premature mortality, provide health in resource-constrained settings, and seek patients' healthy lives, which can be done through an accurate and early-stage skin cancer diagnosis.
{"title":"Proposed Convolution Neural Network for Skin Cancer Diagnosis and Classification","authors":"Rudresh Pillai, N. Sharma, Rupesh Gupta","doi":"10.1109/REEDCON57544.2023.10151029","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151029","url":null,"abstract":"Skin cancer is a lethal condition that, if not detected in its early stages, becomes more difficult to cure and can have fatal outcomes. Thus, skin cancer must be diagnosed accurately, precisely, and as early as possible so that it doesn't progress into further stages. Traditional methods for diagnosing skin cancer involve numerous tests and consultations with dermatologist experts. Because many kinds of skin cancer might seem similar, especially in their early stages, correct skin cancer detection can be challenging, even for dermatologist experts. This paper proposed a Convolutional Neural Network (CNN) for diagnosing and stratifying skin cancer into seven classes. The proposed CNN model consists of 26 layers. The images utilized for training and testing the model were obtained from the HAM10000 dataset, which was then augmented using various techniques and then classified by the proposed CNN model into seven labeled classes, including AKIEC, BCC, BKL, DF, MEL, NV, and VASC. The presented CNN model was shown to have a high accuracy of 99.94%, outperforming state-of-the-art algorithms for accurately diagnosing and categorizing skin cancer. This paper aims to prevent premature mortality, provide health in resource-constrained settings, and seek patients' healthy lives, which can be done through an accurate and early-stage skin cancer diagnosis.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133993879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Advanced Intensive Care Unit (ICU) system brings new opportunities for monitoring and providing patient care. It requires techniques to integrate data from multiple sources in a streamlined manner, to provide a comprehensive view of the patient’s condition. The Digital ICU architecture is designed to enable the integration of patient data from multiple sources, to provide an intelligent patient monitoring platform and enhance patient care outcomes. The Digital ICU system is used for monitoring critically ill patients and ambit its advantages in overcoming the limitations of traditional monitoring systems. Finally, the paper proposes new implementations to enable the interoperability of digital ICU systems. We envision that the proposed Digital ICU system will improve clinical efficiency, provides remote monitoring, a real-time dashboard and alerts, enhance patient outcomes, and provide a new dimension to patient care in a faster manner. The proposed system will increase the efficiency of the nurses and helps in effective look of the admitted patients.
{"title":"Advanced ICU Patient Monitoring With Sensor Integration, IV Detection WITH Canny Edge Detection and ECG Monitoring With Live Feed","authors":"Kothapally Aditya Reddy, Suggu Pavan, Kiran Mannem, Bindhu Priya","doi":"10.1109/REEDCON57544.2023.10151176","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151176","url":null,"abstract":"The Advanced Intensive Care Unit (ICU) system brings new opportunities for monitoring and providing patient care. It requires techniques to integrate data from multiple sources in a streamlined manner, to provide a comprehensive view of the patient’s condition. The Digital ICU architecture is designed to enable the integration of patient data from multiple sources, to provide an intelligent patient monitoring platform and enhance patient care outcomes. The Digital ICU system is used for monitoring critically ill patients and ambit its advantages in overcoming the limitations of traditional monitoring systems. Finally, the paper proposes new implementations to enable the interoperability of digital ICU systems. We envision that the proposed Digital ICU system will improve clinical efficiency, provides remote monitoring, a real-time dashboard and alerts, enhance patient outcomes, and provide a new dimension to patient care in a faster manner. The proposed system will increase the efficiency of the nurses and helps in effective look of the admitted patients.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"118 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113996639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10150710
Salman Rafi, Md.Khursheed Alam, M. Jalil, S. Kirmani
The partial shading (PS) is a phenomenon that affects PV panels frequently. Many Photo Voltaic (PV) array reconfiguration techniques have advanced recently, making significant progress in providing solutions to partial shading. But the majority of the currently used techniques still fall short of achieving efficient shade dispersion and power enhancement. This paper presents the study of Improved Sudoku technique and also provides a comparative analysis with other techniques. This Improved Sudoku Technique is a puzzle-based technique where the sum of numbers in each row and column is constant, and each row and column contains numbers from 1 to 9. The main objective of this paper is to improve the power and dispersion of the standard two shade patterns. Additionally, a comparison with other renowned techniques like Honey-comb (HC) and Total Cross Tied (TCT) is conducted to demonstrate its outstanding performance. In terms of power enhancement and fill factor (FF), the developed method offers extremely satisfactory performance in every area. To further demonstrate the adaptability of the suggested methodology, a more thorough analysis based on additional performance metrics such as maximum power GMPP(Pmax), fill factor (FF) along with mismatch losses (ML) and execution ratio (ER) is carried out.
{"title":"Modelling And Simulation of PV Array Reconfiguration Techniques to Optimize the Power","authors":"Salman Rafi, Md.Khursheed Alam, M. Jalil, S. Kirmani","doi":"10.1109/REEDCON57544.2023.10150710","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150710","url":null,"abstract":"The partial shading (PS) is a phenomenon that affects PV panels frequently. Many Photo Voltaic (PV) array reconfiguration techniques have advanced recently, making significant progress in providing solutions to partial shading. But the majority of the currently used techniques still fall short of achieving efficient shade dispersion and power enhancement. This paper presents the study of Improved Sudoku technique and also provides a comparative analysis with other techniques. This Improved Sudoku Technique is a puzzle-based technique where the sum of numbers in each row and column is constant, and each row and column contains numbers from 1 to 9. The main objective of this paper is to improve the power and dispersion of the standard two shade patterns. Additionally, a comparison with other renowned techniques like Honey-comb (HC) and Total Cross Tied (TCT) is conducted to demonstrate its outstanding performance. In terms of power enhancement and fill factor (FF), the developed method offers extremely satisfactory performance in every area. To further demonstrate the adaptability of the suggested methodology, a more thorough analysis based on additional performance metrics such as maximum power GMPP(Pmax), fill factor (FF) along with mismatch losses (ML) and execution ratio (ER) is carried out.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129110966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10150829
Mohd Mustafa Khan, Anwar Sadat, E. Khan
The adulteration of olive oil is one of the widely existing oil quality problem. A technique known as Dielectric Spectroscopy is used in this paper to determine adulteration in olive oil with soya and mustard oil. The Dielectric parameter that is dielectric constant of the oil samples were investigated within the frequency range of 100Hz-1MHz. As the soya and mustard oil concentrations increases over the measured frequency range, the dielectric constant of olive oil adulterated with other oils increases as well. The findings from this proposed study could be utilised to distinguish between olive oil that has been contaminated with other vegetable oils at levels ranging from 0% to 50%.
{"title":"Determination of olive oil adulteration using Dielectric Spectroscopy","authors":"Mohd Mustafa Khan, Anwar Sadat, E. Khan","doi":"10.1109/REEDCON57544.2023.10150829","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150829","url":null,"abstract":"The adulteration of olive oil is one of the widely existing oil quality problem. A technique known as Dielectric Spectroscopy is used in this paper to determine adulteration in olive oil with soya and mustard oil. The Dielectric parameter that is dielectric constant of the oil samples were investigated within the frequency range of 100Hz-1MHz. As the soya and mustard oil concentrations increases over the measured frequency range, the dielectric constant of olive oil adulterated with other oils increases as well. The findings from this proposed study could be utilised to distinguish between olive oil that has been contaminated with other vegetable oils at levels ranging from 0% to 50%.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116416967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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