Pub Date : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768548
Anu Babu, S. Jerome
Breast cancer is the most treacherous tumour among women and its early detection enhances the chances of survival of the patient. Screening mammography improves a physician's ability to detect even small tumours which cannot be felt physically by the patient. Mammographic image noises influence the diagnostic images which can affect the diagnostic process. Hence it is indispensable to filter out the noises by preserving important features of the image. This paper investigates and identifies the most appropriate denoising filter and enhancement technique among mean, median, adaptive median, gaussian, wiener, contrast stretching, histogram equalization and Contrast Limited Adaptive Histogram Equalization (CLAHE). The matrices used to analyse the performance is Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM). From experimental results and analysis, it is proved that adaptive median filter and histogram equalization techniques are efficacious in removing noise and thereby enhancing the calibre of the image.
{"title":"Mammogram Image Grade Gauging of Denoising Filters & Enhancement Methods","authors":"Anu Babu, S. Jerome","doi":"10.1109/ICEEICT53079.2022.9768548","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768548","url":null,"abstract":"Breast cancer is the most treacherous tumour among women and its early detection enhances the chances of survival of the patient. Screening mammography improves a physician's ability to detect even small tumours which cannot be felt physically by the patient. Mammographic image noises influence the diagnostic images which can affect the diagnostic process. Hence it is indispensable to filter out the noises by preserving important features of the image. This paper investigates and identifies the most appropriate denoising filter and enhancement technique among mean, median, adaptive median, gaussian, wiener, contrast stretching, histogram equalization and Contrast Limited Adaptive Histogram Equalization (CLAHE). The matrices used to analyse the performance is Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM). From experimental results and analysis, it is proved that adaptive median filter and histogram equalization techniques are efficacious in removing noise and thereby enhancing the calibre of the image.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115992625","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768634
Bhargavi Goswami, Radha Shah, M. Furqan
Neighborhood Area Networks (NAN) and Home Area Networks (HAN) in Smart Grid are facing major set back to connect with control centers because of the high latency in the communication networks. There are multiple network candidates which suffice the requirements of communication applications in Smart Grid. For instance, Zigbee and WiFi are suitable for HAN to meet the requirements of low bandwidth and fewer nodes. On the other hand, NAN consists of thousands of nodes demanding very high bandwidth to cover the area of 25 kilometers, therefore, Mobile Networks (4G/5G) and WiMAX are suitable for NAN requirements. For WAN communication, Fiber outperforms other communication technologies. Current smart grid models fall short to address the demand for low latency high bandwidth infrastructure for NAN communication adjacent to HAN and WAN. Further, how 5G based infrastructure will perform in collaboration with a diverse set of communication technology in HAN and WAN is unexplored. This paper proposes a novel communication design for NAN and HAN using a hybrid communication network for Smart Grid. A communication model is designed as a solution through the collaboration of technologies like 5G, IoT, Gigabit Ethernet - Fiber, and 802.11ac. The simulation results obtained prove the capabilities of the design that fulfills the requirements of NAN and HAN implementation using hybrid communication in suburbs and densely populated areas. The novel design presented in this paper shows its potential with mathematical modelling, feasibility with simulation and improvement in network parameters with result analysis.
{"title":"Neighborhood Area Networks Communication Model for Smart Grid: Design and Performance Evaluation","authors":"Bhargavi Goswami, Radha Shah, M. Furqan","doi":"10.1109/ICEEICT53079.2022.9768634","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768634","url":null,"abstract":"Neighborhood Area Networks (NAN) and Home Area Networks (HAN) in Smart Grid are facing major set back to connect with control centers because of the high latency in the communication networks. There are multiple network candidates which suffice the requirements of communication applications in Smart Grid. For instance, Zigbee and WiFi are suitable for HAN to meet the requirements of low bandwidth and fewer nodes. On the other hand, NAN consists of thousands of nodes demanding very high bandwidth to cover the area of 25 kilometers, therefore, Mobile Networks (4G/5G) and WiMAX are suitable for NAN requirements. For WAN communication, Fiber outperforms other communication technologies. Current smart grid models fall short to address the demand for low latency high bandwidth infrastructure for NAN communication adjacent to HAN and WAN. Further, how 5G based infrastructure will perform in collaboration with a diverse set of communication technology in HAN and WAN is unexplored. This paper proposes a novel communication design for NAN and HAN using a hybrid communication network for Smart Grid. A communication model is designed as a solution through the collaboration of technologies like 5G, IoT, Gigabit Ethernet - Fiber, and 802.11ac. The simulation results obtained prove the capabilities of the design that fulfills the requirements of NAN and HAN implementation using hybrid communication in suburbs and densely populated areas. The novel design presented in this paper shows its potential with mathematical modelling, feasibility with simulation and improvement in network parameters with result analysis.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122823744","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768631
S. Prabha, K. Chandu, Anusha Sairam, M. V. Ratna kumar, K. Sankaran
Abnormal cell growth in brain causes brain tumor which may be a cancerous or non-cancerous one. Tumors can start in the brain, or cancer elsewhere in the body can spread to the brain. This tumor has to be detected at an early stage when it is small. Tumor can be detected easily with the help of MRI modality as the resolution and quality of an image is superior in MRI liken with other imagining techniques and also it is not harmful for the tissues that are present in the brain. In our proposed methodology, three sections have been implemented which includes segmentation, feature extraction and classification. Employment of region based active contour algorithm is used to identify the type of tumors as malignant and benign. Thus, proposed system classifies tumor with an accuracy of 93.34 %.
{"title":"Brain Tumor Analysis using Machine Learning Techniques","authors":"S. Prabha, K. Chandu, Anusha Sairam, M. V. Ratna kumar, K. Sankaran","doi":"10.1109/ICEEICT53079.2022.9768631","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768631","url":null,"abstract":"Abnormal cell growth in brain causes brain tumor which may be a cancerous or non-cancerous one. Tumors can start in the brain, or cancer elsewhere in the body can spread to the brain. This tumor has to be detected at an early stage when it is small. Tumor can be detected easily with the help of MRI modality as the resolution and quality of an image is superior in MRI liken with other imagining techniques and also it is not harmful for the tissues that are present in the brain. In our proposed methodology, three sections have been implemented which includes segmentation, feature extraction and classification. Employment of region based active contour algorithm is used to identify the type of tumors as malignant and benign. Thus, proposed system classifies tumor with an accuracy of 93.34 %.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122378207","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768593
Nakka Shivakumar, N. U. Kumar, S. Bachu, M. A. Kumar
Generally remote sensing images are in hazy conditions such as fog, snow, thin cloud, dust etc., which results in contrast degradations in image. This work is based on the Dark Channel prior (DCP) to eliminate the haze effect on remote sensing images. In this model both natural images and remote sensing images Dehazingis possible. In the enhancement of satellite image properties several steps are involved, the first step is to identify whether the image is natural image or remote sensing image and restore it for the purpose of removing haze. By using air light values further, the iteration takes place with the help of DCP to remove dust and then the haze is eliminated by applying Iterative dehazing method for remote sensing image (IDERS) model. The output image obtained after Low light image enhancement (LIME) process is free from haze, brightness is enhanced. The simulation results shows that the performance of proposed method is improved as compared to the state of art approaches.
{"title":"Remote Sensing and Natural Image Dehazing using DCP based IDERS Framework","authors":"Nakka Shivakumar, N. U. Kumar, S. Bachu, M. A. Kumar","doi":"10.1109/ICEEICT53079.2022.9768593","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768593","url":null,"abstract":"Generally remote sensing images are in hazy conditions such as fog, snow, thin cloud, dust etc., which results in contrast degradations in image. This work is based on the Dark Channel prior (DCP) to eliminate the haze effect on remote sensing images. In this model both natural images and remote sensing images Dehazingis possible. In the enhancement of satellite image properties several steps are involved, the first step is to identify whether the image is natural image or remote sensing image and restore it for the purpose of removing haze. By using air light values further, the iteration takes place with the help of DCP to remove dust and then the haze is eliminated by applying Iterative dehazing method for remote sensing image (IDERS) model. The output image obtained after Low light image enhancement (LIME) process is free from haze, brightness is enhanced. The simulation results shows that the performance of proposed method is improved as compared to the state of art approaches.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126561953","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768546
Nadeem Akram, V. Ilango
The Evolution of Web over the years has made a significant progress on how the information is organized and stored, as the complexity of the data stored and retrieved increases it becomes mandatory to upgrade the methodology involved in achieving them. During web Access it becomes essential to determine the nature of the user so as to understand his preferences in order to generate a customized look and feel of the website and there by offering him a Personalized web surfing experience. The primary Stage of a customized web access is in determining what the user wants from the web via a proper semantic Query Methodology which represents what user need rather than content prevailing in the web for request Query. When the user request is understood, the next task would to categorize the possible results in response to the query depending upon relevance. Furthermore, the process would be to categorize user data according different aspects to create web personalization. This takes the web to next level with web usage prediction using Web log files there by creating a New Customized web for every one with the major focus to represent what matters to the users.
{"title":"Intelligent Web Mining Techniques using Semantic Web","authors":"Nadeem Akram, V. Ilango","doi":"10.1109/ICEEICT53079.2022.9768546","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768546","url":null,"abstract":"The Evolution of Web over the years has made a significant progress on how the information is organized and stored, as the complexity of the data stored and retrieved increases it becomes mandatory to upgrade the methodology involved in achieving them. During web Access it becomes essential to determine the nature of the user so as to understand his preferences in order to generate a customized look and feel of the website and there by offering him a Personalized web surfing experience. The primary Stage of a customized web access is in determining what the user wants from the web via a proper semantic Query Methodology which represents what user need rather than content prevailing in the web for request Query. When the user request is understood, the next task would to categorize the possible results in response to the query depending upon relevance. Furthermore, the process would be to categorize user data according different aspects to create web personalization. This takes the web to next level with web usage prediction using Web log files there by creating a New Customized web for every one with the major focus to represent what matters to the users.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124143398","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768463
Ekata Kaushik, Vivek Prakash, O. Mahela
Power system flexibility (PSF) indicates the ability of a power network to reliably and cost-effectively manage the variability and uncertainty of demand and supply across all relevant time-scales. PSF has become a main topic of research due to increased penetration of renewable energy (RE) in the utility networks. Different methods and techniques have been explored for PSF improvement in the recent years. This paper is focussed to design an optimal restructuring of the practical transmission system to improve PSF. A power system restructuring flexibility index (PSRFI) is designed using the voltage deviations of all buses and fractional network loss to assess the flexibility level of the transmission system to feed quality power to the consumers. Study is performed for the base year 2021, projected 2031, and two proposals for network restructuring. Load projections have been carried out using least square approximation method. Cost benefit analysis is carried out to assess the payback period for investment incurred on the network restructuring. It is established that PSF has been improved significantly by optimal network restructuring.
{"title":"Power System Flexibility Improvement and Loss Reduction Using Optimal Restructuring of Transmission Network","authors":"Ekata Kaushik, Vivek Prakash, O. Mahela","doi":"10.1109/ICEEICT53079.2022.9768463","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768463","url":null,"abstract":"Power system flexibility (PSF) indicates the ability of a power network to reliably and cost-effectively manage the variability and uncertainty of demand and supply across all relevant time-scales. PSF has become a main topic of research due to increased penetration of renewable energy (RE) in the utility networks. Different methods and techniques have been explored for PSF improvement in the recent years. This paper is focussed to design an optimal restructuring of the practical transmission system to improve PSF. A power system restructuring flexibility index (PSRFI) is designed using the voltage deviations of all buses and fractional network loss to assess the flexibility level of the transmission system to feed quality power to the consumers. Study is performed for the base year 2021, projected 2031, and two proposals for network restructuring. Load projections have been carried out using least square approximation method. Cost benefit analysis is carried out to assess the payback period for investment incurred on the network restructuring. It is established that PSF has been improved significantly by optimal network restructuring.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124152872","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768436
Kumbham Meghana, K. Nagabushanam, S. Bachu
A computer-aided detection and diagnosis (CADD) system must include automated fracture identification, which can lead to improve the treatment of orthopedics. This article provides a unified approach for detecting and evaluating orthopedic fractures in digital X-ray images of different types of long bones. Initially, the test images are applied to the gaussian filtering, which performs the image pre-processing, noise removal, artifact removal and also performs the image enhancements. Then, the preprocessed images are applied to the watershed segmentation approach. Then, the digital geometry-based line extraction operation is performed on the segmented images, which draws the lines on the fracture location. Finally, back propagated artificial neural network (BP-ANN) is applied on the fractured region, which identifies the test image status as fractured or not. The simulation results shows that the proposed method resulted in better performance as compared to the conventional approaches.
{"title":"Implementation of Computer Aided System for Automated Bone Fracture Detection using Digital Geometry","authors":"Kumbham Meghana, K. Nagabushanam, S. Bachu","doi":"10.1109/ICEEICT53079.2022.9768436","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768436","url":null,"abstract":"A computer-aided detection and diagnosis (CADD) system must include automated fracture identification, which can lead to improve the treatment of orthopedics. This article provides a unified approach for detecting and evaluating orthopedic fractures in digital X-ray images of different types of long bones. Initially, the test images are applied to the gaussian filtering, which performs the image pre-processing, noise removal, artifact removal and also performs the image enhancements. Then, the preprocessed images are applied to the watershed segmentation approach. Then, the digital geometry-based line extraction operation is performed on the segmented images, which draws the lines on the fracture location. Finally, back propagated artificial neural network (BP-ANN) is applied on the fractured region, which identifies the test image status as fractured or not. The simulation results shows that the proposed method resulted in better performance as compared to the conventional approaches.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517928","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768445
Jasleen Chhabra, Nemi Chand Barwar
With the increase in the amount of traffic on the roads, it has become essential to provide safety to drivers, passengers, and pedestrians, which can be done through the development of effective routing protocols for vehicular ad-hoc networks. In this paper, the performance of VANET routing protocols namely GPSR, MM-GPSR, and PA-GPSR has been analyzed under Dense urban and Highway scenarios and by varying the through traffic factor in Jodhpur city using Simulation of Urban Mobility(SUMO) and Network Simulator-version 3(NS-3). Various performance metrics such as the packet loss rate, the average end-to-end delay, and throughput are considered to evaluate the performance of these protocols. This study on GPSR-based routing protocols can be beneficial for society as it can be used in healthcare applications where optimum routing paths can be adopted in emergency situations to provide fast services to the patients by the ambulance in a real-time environment.
{"title":"Evaluation of GPSR-based routing protocols in Vehicular ad-hoc network: A case study of Jodhpur city","authors":"Jasleen Chhabra, Nemi Chand Barwar","doi":"10.1109/ICEEICT53079.2022.9768445","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768445","url":null,"abstract":"With the increase in the amount of traffic on the roads, it has become essential to provide safety to drivers, passengers, and pedestrians, which can be done through the development of effective routing protocols for vehicular ad-hoc networks. In this paper, the performance of VANET routing protocols namely GPSR, MM-GPSR, and PA-GPSR has been analyzed under Dense urban and Highway scenarios and by varying the through traffic factor in Jodhpur city using Simulation of Urban Mobility(SUMO) and Network Simulator-version 3(NS-3). Various performance metrics such as the packet loss rate, the average end-to-end delay, and throughput are considered to evaluate the performance of these protocols. This study on GPSR-based routing protocols can be beneficial for society as it can be used in healthcare applications where optimum routing paths can be adopted in emergency situations to provide fast services to the patients by the ambulance in a real-time environment.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114891836","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768558
Shridevi Soma, Nischita Waddenkery
Intelligent Video surveillance is one of the most emerging technologies in Computer vision, used for object detection and locating within the video or image. Majority of the research are carried on the Yolo algorithm on vehicle tracking, monitoring vehicles, and medical science. The main objective of this paper is to develop an optimal solution to detect, locate multiple objects such as person and vehicles in a single frame using Kitti dataset. Usually the kitti data set focuses on foreground vehicle detection; in the proposed algorithm it detects person, vehicle and also the background objects. The output obtained for every image includes the information of object such as probability, classification of the object, bonding box, object center (x, y coordinates), height, width using Non-Maximum Suppression (NMS) algorithm. The Kitti dataset of 350 images is used and it is observed that classification rate is 80% at 0.3 confidence threshold value over bounding boxes pixel area for vehicle and person detection. This work can be further carried out in detecting and tracking of objects at different weather conditions like rainy, winter and also during night.
{"title":"Machine-Learning Object Detection and Recognition for Surveillance System using YoloV3","authors":"Shridevi Soma, Nischita Waddenkery","doi":"10.1109/ICEEICT53079.2022.9768558","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768558","url":null,"abstract":"Intelligent Video surveillance is one of the most emerging technologies in Computer vision, used for object detection and locating within the video or image. Majority of the research are carried on the Yolo algorithm on vehicle tracking, monitoring vehicles, and medical science. The main objective of this paper is to develop an optimal solution to detect, locate multiple objects such as person and vehicles in a single frame using Kitti dataset. Usually the kitti data set focuses on foreground vehicle detection; in the proposed algorithm it detects person, vehicle and also the background objects. The output obtained for every image includes the information of object such as probability, classification of the object, bonding box, object center (x, y coordinates), height, width using Non-Maximum Suppression (NMS) algorithm. The Kitti dataset of 350 images is used and it is observed that classification rate is 80% at 0.3 confidence threshold value over bounding boxes pixel area for vehicle and person detection. This work can be further carried out in detecting and tracking of objects at different weather conditions like rainy, winter and also during night.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116925758","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 : 2022-02-16DOI: 10.1109/ICEEICT53079.2022.9768417
Atul Nayan, O. P. Rahi
Microgrids are the major component of the future smart grid, as these open up new possibilities for aggregating loads and sources. As a result, it is considered to be the next-generation power system arrangement, capable of operating in both standalone and grid-connected modes. This work describes a novel fuzzy logic controller for controlling the charging and discharging of a PV battery storage system. The battery is charged and discharged based on the power difference between generation and demand. There are numerous strategies for controlling the performance of battery, however these controlling techniques have issues in terms of limiting overcharging, complexity in control and slow charging. The paper compares the performance of battery, simulated in MATLAB Simulink using PID controller and fuzzy logic controller. A fuzzy logic controller is less complex to design and provides fast charging.
{"title":"Charging and Discharging of Battery in a PV System using Fuzzy Logic Controller","authors":"Atul Nayan, O. P. Rahi","doi":"10.1109/ICEEICT53079.2022.9768417","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768417","url":null,"abstract":"Microgrids are the major component of the future smart grid, as these open up new possibilities for aggregating loads and sources. As a result, it is considered to be the next-generation power system arrangement, capable of operating in both standalone and grid-connected modes. This work describes a novel fuzzy logic controller for controlling the charging and discharging of a PV battery storage system. The battery is charged and discharged based on the power difference between generation and demand. There are numerous strategies for controlling the performance of battery, however these controlling techniques have issues in terms of limiting overcharging, complexity in control and slow charging. The paper compares the performance of battery, simulated in MATLAB Simulink using PID controller and fuzzy logic controller. A fuzzy logic controller is less complex to design and provides fast charging.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128441607","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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