Pub Date : 2023-02-23DOI: 10.1109/ECCE57851.2023.10101667
N. B. Noor, Opy Das
The classification of signals and images using machine learning and artificial intelligence is a rapidly growing field with various applications across various industries. It is used in diverse areas of life, from medical science to security and transportation to entertainment. The ability to classify and analyze signals and images using ML and AI techniques allows for improved automation, decision-making, and predictions in many fields. This research examines the classification of signals and images using various neural and non-neural network-based algorithms. The focus is on the application of Convolutional Neural Networks (CNN) on image and signal datasets, specifically in the medical field. The classification of EEG signals is used to identify epileptic seizure disease, while food image datasets are used to classify seven different categories of food. Additionally, five pre-trained CNN models were applied to the food dataset using transfer learning techniques, with the VGG19 model achieving the highest accuracy of 94%. The classification of EEG signals using a publicly available dataset resulted in an accuracy of 98%. This study highlights the potential of machine learning in the analysis and classification of medical images and signals and the ability of CNNs to classify such data effectively.
{"title":"A Survey on Neural and Non-Neural Network Based Approaches to Classify Images and Signals","authors":"N. B. Noor, Opy Das","doi":"10.1109/ECCE57851.2023.10101667","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101667","url":null,"abstract":"The classification of signals and images using machine learning and artificial intelligence is a rapidly growing field with various applications across various industries. It is used in diverse areas of life, from medical science to security and transportation to entertainment. The ability to classify and analyze signals and images using ML and AI techniques allows for improved automation, decision-making, and predictions in many fields. This research examines the classification of signals and images using various neural and non-neural network-based algorithms. The focus is on the application of Convolutional Neural Networks (CNN) on image and signal datasets, specifically in the medical field. The classification of EEG signals is used to identify epileptic seizure disease, while food image datasets are used to classify seven different categories of food. Additionally, five pre-trained CNN models were applied to the food dataset using transfer learning techniques, with the VGG19 model achieving the highest accuracy of 94%. The classification of EEG signals using a publicly available dataset resulted in an accuracy of 98%. This study highlights the potential of machine learning in the analysis and classification of medical images and signals and the ability of CNNs to classify such data effectively.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134293101","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}
Correct identification and categorization of plant diseases are crucial for ensuring the safety of the global food supply and the overall financial success of stakeholders. In this regard, a wide range of solutions has been made available by in-troducing deep learning-based classification systems for different staple crops. Despite being one of the most important commercial crops in many parts of the globe, research proposing a smart solution for automatically classifying apple leaf diseases remains relatively unexplored. This work proposes a transfer learning-based approach for identifying apple leaf diseases. The system extracts features using a pretrained EfficientNetV2S architecture and passes to a classifier block for effective prediction. The class imbalance issues are tackled by utilizing runtime data augmentation. The effect of various hyperparameters, such as input resolution, learning rate, number of epochs, etc., has been investigated carefully. The competence of the proposed pipeline has been evaluated on the apple leaf disease subset from the publicly available ‘PlantVillage’ dataset, where it achieved an accuracy of 99.21 %, outperforming the existing works.
{"title":"An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification","authors":"Md. Hamjajul Ashmafee, Tasnim Ahmed, Sabbir Ahmed, Md. Bakhtiar Hasan, Mst. Nura Jahan, A. Rahman","doi":"10.1109/ECCE57851.2023.10101542","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101542","url":null,"abstract":"Correct identification and categorization of plant diseases are crucial for ensuring the safety of the global food supply and the overall financial success of stakeholders. In this regard, a wide range of solutions has been made available by in-troducing deep learning-based classification systems for different staple crops. Despite being one of the most important commercial crops in many parts of the globe, research proposing a smart solution for automatically classifying apple leaf diseases remains relatively unexplored. This work proposes a transfer learning-based approach for identifying apple leaf diseases. The system extracts features using a pretrained EfficientNetV2S architecture and passes to a classifier block for effective prediction. The class imbalance issues are tackled by utilizing runtime data augmentation. The effect of various hyperparameters, such as input resolution, learning rate, number of epochs, etc., has been investigated carefully. The competence of the proposed pipeline has been evaluated on the apple leaf disease subset from the publicly available ‘PlantVillage’ dataset, where it achieved an accuracy of 99.21 %, outperforming the existing works.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131564786","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 : 2023-02-23DOI: 10.1109/ecce57851.2023.10101509
{"title":"Message from the Organiging Chair","authors":"","doi":"10.1109/ecce57851.2023.10101509","DOIUrl":"https://doi.org/10.1109/ecce57851.2023.10101509","url":null,"abstract":"","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130972523","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 : 2023-02-23DOI: 10.1109/ECCE57851.2023.10101620
Md Mahmudul Hasan, Syeda Maria Sultana, M. J. Ferdous, Israt Jahan Khan, Md. Faysal Nayan
Organic-inorganic Perovskites solar cells have recently been recognized as one of the most promising third-generation competitors among solar cells due to their simple and cost-effective solution processing manufacturing capabilities, as well as their strong electrical and optical properties. The main objectives of this study were to identify the most suitable transport layers to use and to figure out the optimal perovskite thickness for higher absorption and efficient transport properties. In this study, the performance of perovskite-based solar cells for three different electron transport materials (ETM) layers—ZnO, TiO2, and SnO2 was evaluated using the Solar Cell Capacitance Simulator (SCAPS)-1D. In the suggested configuration, nickel oxide (NiOx) was chosen as the hole transport material (HTM), mixed halide perovskite (CH3NH3PbI3) as the absorber material, and zinc oxide (ZnO), TiO2, and SnO2 as the ETM. Our analysis revealed that Jsc, FF, Voc, and efficiency are all significantly influenced by the type and thickness of the absorber layer in a perovskite solar cell. Perovskite layers containing defects were considered for conducting the analysis. The results demonstrate that by varying the layer thickness, the efficiency of the power conversion may be enhanced. When the thickness is increased PCE increases immediately but it decreases after a period of time. When ETM layer is ZnO, the findings demonstrate a considerable improvement in efficiency (18%).
{"title":"Absorber Layer Thickness Dependent Performance Evaluation of Perovskite Solar Cell for different Electron Transport Layers","authors":"Md Mahmudul Hasan, Syeda Maria Sultana, M. J. Ferdous, Israt Jahan Khan, Md. Faysal Nayan","doi":"10.1109/ECCE57851.2023.10101620","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101620","url":null,"abstract":"Organic-inorganic Perovskites solar cells have recently been recognized as one of the most promising third-generation competitors among solar cells due to their simple and cost-effective solution processing manufacturing capabilities, as well as their strong electrical and optical properties. The main objectives of this study were to identify the most suitable transport layers to use and to figure out the optimal perovskite thickness for higher absorption and efficient transport properties. In this study, the performance of perovskite-based solar cells for three different electron transport materials (ETM) layers—ZnO, TiO2, and SnO2 was evaluated using the Solar Cell Capacitance Simulator (SCAPS)-1D. In the suggested configuration, nickel oxide (NiOx) was chosen as the hole transport material (HTM), mixed halide perovskite (CH3NH3PbI3) as the absorber material, and zinc oxide (ZnO), TiO2, and SnO2 as the ETM. Our analysis revealed that Jsc, FF, Voc, and efficiency are all significantly influenced by the type and thickness of the absorber layer in a perovskite solar cell. Perovskite layers containing defects were considered for conducting the analysis. The results demonstrate that by varying the layer thickness, the efficiency of the power conversion may be enhanced. When the thickness is increased PCE increases immediately but it decreases after a period of time. When ETM layer is ZnO, the findings demonstrate a considerable improvement in efficiency (18%).","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"159 1-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132846009","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 : 2023-02-23DOI: 10.1109/ECCE57851.2023.10101487
Redoy Hossain, Md. Nadim Hossain, Aditta Chowdhury, K. Hasan, M. R. T. Hossain
This paper represents the robustness analysis of active front end rectifier by model predictive control. Over the year different mechanisms have been applied for controlling the active front end rectifier. In our paper, the rectifier has been designed and controlled without the need of PI controller. The model's robustness is analyzed by evaluating total harmonic distortion (THD), switching frequency and voltage deviation for various system conditions. The chosen method performs in a discrete periods and requires no external modulators. By applying dynamic references, it shows flexibility in power control. Real power source and voltage references are also provided without using extra control loop. Variation of total harmonic distortion, switching frequency and voltage has been analyzed and the system has been designed and investigated in MATLAB Simulink. Simulation findings indicate a faster and more appropriate determination of reactive power and dynamic voltage. The proposed method also have been analyzed for different load types to validate its efficacy. Practical implementation of this rectifier will be of interest in future.
{"title":"Model Predictive Control of an Active Front End Rectifier: Robustness Analysis","authors":"Redoy Hossain, Md. Nadim Hossain, Aditta Chowdhury, K. Hasan, M. R. T. Hossain","doi":"10.1109/ECCE57851.2023.10101487","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101487","url":null,"abstract":"This paper represents the robustness analysis of active front end rectifier by model predictive control. Over the year different mechanisms have been applied for controlling the active front end rectifier. In our paper, the rectifier has been designed and controlled without the need of PI controller. The model's robustness is analyzed by evaluating total harmonic distortion (THD), switching frequency and voltage deviation for various system conditions. The chosen method performs in a discrete periods and requires no external modulators. By applying dynamic references, it shows flexibility in power control. Real power source and voltage references are also provided without using extra control loop. Variation of total harmonic distortion, switching frequency and voltage has been analyzed and the system has been designed and investigated in MATLAB Simulink. Simulation findings indicate a faster and more appropriate determination of reactive power and dynamic voltage. The proposed method also have been analyzed for different load types to validate its efficacy. Practical implementation of this rectifier will be of interest in future.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133406237","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 : 2023-02-23DOI: 10.1109/ECCE57851.2023.10101608
Khadija Akter, Nursadul Mamun, Md.Azad Hossain
In a real-world environment, the intelligibility and quality of speech are reduced inevitably when it is encountered noises. Speech enhancement aims to have reconstructed clean speech by suppressing unwanted ambient noise. Numerous types of research have been accomplished for this enhancement t3ask; some of them uses spectral mapping technique but fails somewhere in real-life condition. This study proposes a time-frequency (T-F) masking-based speech enhancement approach which resembles the human auditory peripheral subsystem using the ratio of clean and noisy signal magnitudes using a U-Net model. The proposed work is carried out in several seen and unseen noisy conditions with several SNR values. To assess the performance of the proposed enhancement approach, speech intelligibility, and quality scores using four objective scores have been evaluated. The proposed network showed improvement in terms of objective scores and spectral mapping-based method over state-of-art networks.
{"title":"A T-F Masking based Monaural Speech Enhancement using U-Net Architecture","authors":"Khadija Akter, Nursadul Mamun, Md.Azad Hossain","doi":"10.1109/ECCE57851.2023.10101608","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101608","url":null,"abstract":"In a real-world environment, the intelligibility and quality of speech are reduced inevitably when it is encountered noises. Speech enhancement aims to have reconstructed clean speech by suppressing unwanted ambient noise. Numerous types of research have been accomplished for this enhancement t3ask; some of them uses spectral mapping technique but fails somewhere in real-life condition. This study proposes a time-frequency (T-F) masking-based speech enhancement approach which resembles the human auditory peripheral subsystem using the ratio of clean and noisy signal magnitudes using a U-Net model. The proposed work is carried out in several seen and unseen noisy conditions with several SNR values. To assess the performance of the proposed enhancement approach, speech intelligibility, and quality scores using four objective scores have been evaluated. The proposed network showed improvement in terms of objective scores and spectral mapping-based method over state-of-art networks.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"137 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114465914","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 : 2023-02-23DOI: 10.1109/ECCE57851.2023.10101533
Sheikh Mohd. Ta-Seen Afrid, Asad-Uz-Zaman
Transition metal dichalcogenides (TMD) monolayers have acquired enormous attraction in the field of nanophotonic & nanophotonic applications due to their distinctive physical properties. When vacancies are introduced in TMD monolayers, the resulting compounds display intriguing variations in opto-electronic and spintronic properties. In this work, the vacancy induced electronic, magnetic and optical properties of $1mathrm{T}text{-TiTe}_{2}$ monolayers have been investigated. Geometrical structures, spin polarized band structures, magnetism, contribution from differ-ent orbitals, Bader charge analysis, dynamic stability, dielectric functions, and absorption coefficients of defective $1mathrm{T}text{-TiTe}_{2}$ have been evaluated using density-functional theory (DFT) calculations. This investigation disclosed that metallic to semiconducting phase transition occurred due to vacancy. Total magnetization increased notably with introducing vacancy in $1mathrm{T}text{-TiTe}_{2}$. Defective $1mathrm{T}text{-TiTe}_{2}$ retained their dynamic stability. Moreover, the high optical absorption produced from vacancy induced $1mathrm{T}text{-TiTe}_{2}$ can be modulated in optoelectronic devices. The outcomes of this work illuminate the electronic, magnetic and optical features of defective $1mathrm{T}text{-TiTe}_{2}$ that can be favorable to design future optoelectronic and spintronic devices.
{"title":"Impact of Vacancies in Monolayer $1mathrm{T}-text{TiTe}_{2}$ for Optoelectronic and Spintronic Applications: A First-Principles Study","authors":"Sheikh Mohd. Ta-Seen Afrid, Asad-Uz-Zaman","doi":"10.1109/ECCE57851.2023.10101533","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101533","url":null,"abstract":"Transition metal dichalcogenides (TMD) monolayers have acquired enormous attraction in the field of nanophotonic & nanophotonic applications due to their distinctive physical properties. When vacancies are introduced in TMD monolayers, the resulting compounds display intriguing variations in opto-electronic and spintronic properties. In this work, the vacancy induced electronic, magnetic and optical properties of $1mathrm{T}text{-TiTe}_{2}$ monolayers have been investigated. Geometrical structures, spin polarized band structures, magnetism, contribution from differ-ent orbitals, Bader charge analysis, dynamic stability, dielectric functions, and absorption coefficients of defective $1mathrm{T}text{-TiTe}_{2}$ have been evaluated using density-functional theory (DFT) calculations. This investigation disclosed that metallic to semiconducting phase transition occurred due to vacancy. Total magnetization increased notably with introducing vacancy in $1mathrm{T}text{-TiTe}_{2}$. Defective $1mathrm{T}text{-TiTe}_{2}$ retained their dynamic stability. Moreover, the high optical absorption produced from vacancy induced $1mathrm{T}text{-TiTe}_{2}$ can be modulated in optoelectronic devices. The outcomes of this work illuminate the electronic, magnetic and optical features of defective $1mathrm{T}text{-TiTe}_{2}$ that can be favorable to design future optoelectronic and spintronic devices.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123564987","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 : 2023-02-23DOI: 10.1109/ECCE57851.2023.10101554
Md. Sajjad-Ul Islam, Md. Arafat Bin Zafar, Arafat Ibne Ikram, Tanzib Chowdhury, Mohammad Saimur Rahaman Sachha, S. Hossain
Economic analysis is used to assess the ideal size of a micro-grid and its efficiency. In order to maintain and grow a micro-grid economically, optimization is essential. A variety of equality and inequality requirements may be met to reduce the entire production cost, which includes subsidies for things like capital, operations, pollution, and renewable energy. Grey wolf optimization (GWO) is a powerful and adaptable cost-cutting strategy. GWO is used in tandem with other AI-based optimization methods in particular situations. Here, we provide a model for evaluating the viability, expense, and societal and environmental effects of energy systems that operate independently from the grid. Harmonization of micro-grids. It's possible that the micro-mathematical grid's role is to recycle power output hour by hour in accordance with available resources and to store any excess energy in a battery. In this work, we simulate and optimize a PV-Wind-WtE-battery hybrid system in the halishahar thana of Chattogram, Bangladesh. Design concerns include renewable energy sources including solar panels, wind turbines, batteries, and diesel engines. By our estimates, the thana uses around 107,150 MWh of power annually. We use a Grey wolf optimization approach to find the optimal design parameters to minimize the overall yearly cost. This micro-grid can easily provide 1,40,423.8 MWh, more than enough to power Halishahar for a whole year. A low levelized cost of energy (LCOE) of 0.221 $kWh is achieved with this setup. It reduces carbon dioxide emissions by a larger margin than traditional power.
{"title":"Optimal Cost and Component Configuration Analysis of Micro-grid Using GWO Algorithm","authors":"Md. Sajjad-Ul Islam, Md. Arafat Bin Zafar, Arafat Ibne Ikram, Tanzib Chowdhury, Mohammad Saimur Rahaman Sachha, S. Hossain","doi":"10.1109/ECCE57851.2023.10101554","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101554","url":null,"abstract":"Economic analysis is used to assess the ideal size of a micro-grid and its efficiency. In order to maintain and grow a micro-grid economically, optimization is essential. A variety of equality and inequality requirements may be met to reduce the entire production cost, which includes subsidies for things like capital, operations, pollution, and renewable energy. Grey wolf optimization (GWO) is a powerful and adaptable cost-cutting strategy. GWO is used in tandem with other AI-based optimization methods in particular situations. Here, we provide a model for evaluating the viability, expense, and societal and environmental effects of energy systems that operate independently from the grid. Harmonization of micro-grids. It's possible that the micro-mathematical grid's role is to recycle power output hour by hour in accordance with available resources and to store any excess energy in a battery. In this work, we simulate and optimize a PV-Wind-WtE-battery hybrid system in the halishahar thana of Chattogram, Bangladesh. Design concerns include renewable energy sources including solar panels, wind turbines, batteries, and diesel engines. By our estimates, the thana uses around 107,150 MWh of power annually. We use a Grey wolf optimization approach to find the optimal design parameters to minimize the overall yearly cost. This micro-grid can easily provide 1,40,423.8 MWh, more than enough to power Halishahar for a whole year. A low levelized cost of energy (LCOE) of 0.221 $kWh is achieved with this setup. It reduces carbon dioxide emissions by a larger margin than traditional power.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"369 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124630304","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 : 2023-02-23DOI: 10.1109/ECCE57851.2023.10101630
Sancoy Barua, N. Mohammad
Recently, renewable and distributed resources have been emerging to fulfill the ever-increasing energy demand to promote sustainable development globally. An energy management system (EMS) is used to integrate these resources cost-effectively. The intermittent nature of Solar energy, however, might have an impact on the energy security and stability of power systems. To guarantee the effectiveness, dependability, and quality of electricity provided, an optimal control approach is crucial. In this research, a Heuristic and Optimization-based EMS is developed to deliver energy from available resources. The supply system of the microgrid consists of Solar PV, and Energy Storage Systems (ESS) in addition to the main utility grid to serve the residential loads through smart EMS with optimal cost. Inside the Heuristic EMS logical decisions like - when to utilize the main grid or, cut it down are made based on the accessibility of Solar PV and battery state-of-charge (SoC). While, an optimization objective function is formulated within the EMS, aiming at reducing grid intake, utilizing off-peak hours for charging ESS from the grid, maximizing renewable penetration, and potentially exploiting these on-site generators during on-peak hours. Manipulating some practical datasets two plausible cases have been studied to test and validate the performance of the proposed model. Finally, the simulation outcomes of the two methods are compared with each other. As the electricity price significantly changes, the optimization-based EMS was found effective to manage the battery charge-discharge operation and can minimize the residential electricity bill consequently.
{"title":"Investigating Heuristic and Optimization Energy Management Algorithms to Minimize Residential Electricity Costs","authors":"Sancoy Barua, N. Mohammad","doi":"10.1109/ECCE57851.2023.10101630","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101630","url":null,"abstract":"Recently, renewable and distributed resources have been emerging to fulfill the ever-increasing energy demand to promote sustainable development globally. An energy management system (EMS) is used to integrate these resources cost-effectively. The intermittent nature of Solar energy, however, might have an impact on the energy security and stability of power systems. To guarantee the effectiveness, dependability, and quality of electricity provided, an optimal control approach is crucial. In this research, a Heuristic and Optimization-based EMS is developed to deliver energy from available resources. The supply system of the microgrid consists of Solar PV, and Energy Storage Systems (ESS) in addition to the main utility grid to serve the residential loads through smart EMS with optimal cost. Inside the Heuristic EMS logical decisions like - when to utilize the main grid or, cut it down are made based on the accessibility of Solar PV and battery state-of-charge (SoC). While, an optimization objective function is formulated within the EMS, aiming at reducing grid intake, utilizing off-peak hours for charging ESS from the grid, maximizing renewable penetration, and potentially exploiting these on-site generators during on-peak hours. Manipulating some practical datasets two plausible cases have been studied to test and validate the performance of the proposed model. Finally, the simulation outcomes of the two methods are compared with each other. As the electricity price significantly changes, the optimization-based EMS was found effective to manage the battery charge-discharge operation and can minimize the residential electricity bill consequently.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128392199","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 : 2023-02-23DOI: 10.1109/ECCE57851.2023.10101499
Auntora Roy Chowdhury, M. K. Kundu, A. S. M. Badrudduza
The advantages of physical layer security (PLS) have led researchers to apply this in various communication scenarios, such as radio frequency (RF) communication, free space optical (FSO) communication, and underwater optical wireless communication (UOWC). This paper analyzes the PLS, specifically the effective secrecy throughput (EST) over the mixture exponential generalized gamma (mEGG) UOWC channel link in the presence of a passive eavesdropper. To achieve this goal, firstly the closed-form expression of the secure outage probability (SOP) of the system is derived, and using that SOP expression, the final EST expression is found considering the underwater turbulence (air bubble and temperature gradient) as well as two different detection scenarios (heterodyne detection (HDD) & intensity modulation/direct detection(IM/DD)) in terms of Meijer-G functions. Moreover, the average secrecy capacity (ASC) of such a scenario is also exploited in this work. Finally, the expressions are verified through Monte-Carlo simulation.
{"title":"Effective Secrecy Throughput Analysis Over Underwater Wireless Optical Channel","authors":"Auntora Roy Chowdhury, M. K. Kundu, A. S. M. Badrudduza","doi":"10.1109/ECCE57851.2023.10101499","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101499","url":null,"abstract":"The advantages of physical layer security (PLS) have led researchers to apply this in various communication scenarios, such as radio frequency (RF) communication, free space optical (FSO) communication, and underwater optical wireless communication (UOWC). This paper analyzes the PLS, specifically the effective secrecy throughput (EST) over the mixture exponential generalized gamma (mEGG) UOWC channel link in the presence of a passive eavesdropper. To achieve this goal, firstly the closed-form expression of the secure outage probability (SOP) of the system is derived, and using that SOP expression, the final EST expression is found considering the underwater turbulence (air bubble and temperature gradient) as well as two different detection scenarios (heterodyne detection (HDD) & intensity modulation/direct detection(IM/DD)) in terms of Meijer-G functions. Moreover, the average secrecy capacity (ASC) of such a scenario is also exploited in this work. Finally, the expressions are verified through Monte-Carlo simulation.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128524549","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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