Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151097
Divyanshu Khandelwal, Shefali Painuli, S. Bhowmick, R. Saha
Electric vehicles (EVs) lend a new paradigm to the transportation sector while introducing different challenges to the power distribution grid. The EV load presents an unbalanced, dynamic load, depending upon the number of charging EVs at any instant connected to the different phases, the type(s) of the EV(s) connected, the starting time(s) of the EV charging and the charging duration(s), all of which are random functions of time. Hence, it becomes difficult to analyze the impact of EV charging on the distribution networks. In this paper, the domestic EV charging effect of about 3000 EVs pertaining to more than 800 U. S. residents on a 240-bus real distribution grid situated in the Midwest U.S.A is investigated using well-known travel survey data from the National Household Travel Survey (NHTS). Multiple case studies are carried out on the 240-bus network vis-à-vis profiles of the network demand, bus voltages and system losses without and with EV charging. The distortion in the network daily load profile, the bus voltage profile and the network losses can be reduced by implementing practical SOC based EV charging policies. Three SOC based EV charging policies are suggested. The results validate the proposed EV charging guidelines.
{"title":"A Comparison of Practical Electric Vehicle Charging Policies to Improve the Performance of Power Distribution Systems","authors":"Divyanshu Khandelwal, Shefali Painuli, S. Bhowmick, R. Saha","doi":"10.1109/REEDCON57544.2023.10151097","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151097","url":null,"abstract":"Electric vehicles (EVs) lend a new paradigm to the transportation sector while introducing different challenges to the power distribution grid. The EV load presents an unbalanced, dynamic load, depending upon the number of charging EVs at any instant connected to the different phases, the type(s) of the EV(s) connected, the starting time(s) of the EV charging and the charging duration(s), all of which are random functions of time. Hence, it becomes difficult to analyze the impact of EV charging on the distribution networks. In this paper, the domestic EV charging effect of about 3000 EVs pertaining to more than 800 U. S. residents on a 240-bus real distribution grid situated in the Midwest U.S.A is investigated using well-known travel survey data from the National Household Travel Survey (NHTS). Multiple case studies are carried out on the 240-bus network vis-à-vis profiles of the network demand, bus voltages and system losses without and with EV charging. The distortion in the network daily load profile, the bus voltage profile and the network losses can be reduced by implementing practical SOC based EV charging policies. Three SOC based EV charging policies are suggested. The results validate the proposed EV charging guidelines.","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":"128340398","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/REEDCON57544.2023.10150631
Saloni Malhotra, Ginni Arora, R. Bathla
With an increase advancement of technology, fraud phone calls, including spams and malicious calls have become a major concern in telecommunication industry and causes millions of global financial losses every year. Fraudulent phone calls or scams and spams via telephone or mobile phone have become a common threat to individuals and organizations. Artificial Intelligence (AI) and Machine Learning (ML) has emerged as powerful tools in detecting and analyzing fraud or malicious calls. This paper presents an overview of AI-based fraud or spam detection and analysis techniques, along with its challenges and potential solutions. The novel fraud call detection approach is proposed that achieved high accuracy and precision. The Proposed approach was evaluated using a dataset of real-world fraudulent calls. And results demonstrate that the approach achieved high accuracy in detecting malicious calls and identifying potential indicators of frauds or spams. The analysis of fraud calls also provided insights into the tactics and methods employed by fraudsters, which can be used to develop countermeasures.
{"title":"Detection and Analysis of Fraud Phone Calls using Artificial Intelligence","authors":"Saloni Malhotra, Ginni Arora, R. Bathla","doi":"10.1109/REEDCON57544.2023.10150631","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150631","url":null,"abstract":"With an increase advancement of technology, fraud phone calls, including spams and malicious calls have become a major concern in telecommunication industry and causes millions of global financial losses every year. Fraudulent phone calls or scams and spams via telephone or mobile phone have become a common threat to individuals and organizations. Artificial Intelligence (AI) and Machine Learning (ML) has emerged as powerful tools in detecting and analyzing fraud or malicious calls. This paper presents an overview of AI-based fraud or spam detection and analysis techniques, along with its challenges and potential solutions. The novel fraud call detection approach is proposed that achieved high accuracy and precision. The Proposed approach was evaluated using a dataset of real-world fraudulent calls. And results demonstrate that the approach achieved high accuracy in detecting malicious calls and identifying potential indicators of frauds or spams. The analysis of fraud calls also provided insights into the tactics and methods employed by fraudsters, which can be used to develop countermeasures.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"14 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":"128980574","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/REEDCON57544.2023.10151416
Papia Ray, S. Nayak, Arvind P. Singh, Barsha Rani Pradhan
A solution of an economically viable and efficient solar-powered water pumping system in remote water-scarce areas is proposed and analyzed which is based on the reduced use of converter stages in combination with efficient maximum power point tracking (MPPT) controller based on fuzzy logic. Further, Brushless DC (BLDC) motor is used here for efficient water pumping as it is free of excitation loss as in case of an induction motor. The proposed system consisting of a single-stage voltage source inverter uses battery backup for uninterrupted flow which is also controlled by taking MPPT controller output duty as one of the inputs. Consequently, a MATLAB-based model is used to analyze the system’s performance and economic feasibility of the proposed model is also analyzed. The cost of our proposed model was estimated using Homer software, and it was then compared to the cost of the model which uses a DC motor and DC-DC converter proposed by other researchers. It was found from the simulation results that the proposed model costs much lesser i.e., 6 lakhs as compared to other models. Thus, the proposed model is cost effective and efficient regardless of the weather, making it convenient and user-friendly for those who live in remote places and thereby providing help to solve the biggest problem of water crises.
{"title":"Cost and Feasibility Analysis of a Solar-Powered Water Pumping System","authors":"Papia Ray, S. Nayak, Arvind P. Singh, Barsha Rani Pradhan","doi":"10.1109/REEDCON57544.2023.10151416","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151416","url":null,"abstract":"A solution of an economically viable and efficient solar-powered water pumping system in remote water-scarce areas is proposed and analyzed which is based on the reduced use of converter stages in combination with efficient maximum power point tracking (MPPT) controller based on fuzzy logic. Further, Brushless DC (BLDC) motor is used here for efficient water pumping as it is free of excitation loss as in case of an induction motor. The proposed system consisting of a single-stage voltage source inverter uses battery backup for uninterrupted flow which is also controlled by taking MPPT controller output duty as one of the inputs. Consequently, a MATLAB-based model is used to analyze the system’s performance and economic feasibility of the proposed model is also analyzed. The cost of our proposed model was estimated using Homer software, and it was then compared to the cost of the model which uses a DC motor and DC-DC converter proposed by other researchers. It was found from the simulation results that the proposed model costs much lesser i.e., 6 lakhs as compared to other models. Thus, the proposed model is cost effective and efficient regardless of the weather, making it convenient and user-friendly for those who live in remote places and thereby providing help to solve the biggest problem of water crises.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"26 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":"114537649","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/REEDCON57544.2023.10150684
Mohammad Kashif, S. Mehfuz, Iman Shkeel, Shahnawaz Ahmad
Due to reduced key size, Elliptic Curve Cryptography (ECC) was utilized in this study for tenant authentication, data encryption, and decryption. The proposed ECC-based authentication technique efficiently defends against many related threats while allowing authorized users access to confidential data. The authors choose the exact and ideal values of elliptic curves to provide more secure data encryption by combining nature-inspired optimizations like the Moth Search Algorithm (MSA) with ECC. The DNS encryption and the ECC encryption technique are combined in the proposed encryption and decryption method. Analysis of the proposed method's security shows that it is effective against certain types of attacks, including denial-of-service attacks, spoofing attacks, reaction attacks, and simple both the selected ciphertext attack and text attacks.
{"title":"Employing an ECC-Based Hybrid Data Encryption Method to Improve Multitenancy Security in Cloud Computing","authors":"Mohammad Kashif, S. Mehfuz, Iman Shkeel, Shahnawaz Ahmad","doi":"10.1109/REEDCON57544.2023.10150684","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150684","url":null,"abstract":"Due to reduced key size, Elliptic Curve Cryptography (ECC) was utilized in this study for tenant authentication, data encryption, and decryption. The proposed ECC-based authentication technique efficiently defends against many related threats while allowing authorized users access to confidential data. The authors choose the exact and ideal values of elliptic curves to provide more secure data encryption by combining nature-inspired optimizations like the Moth Search Algorithm (MSA) with ECC. The DNS encryption and the ECC encryption technique are combined in the proposed encryption and decryption method. Analysis of the proposed method's security shows that it is effective against certain types of attacks, including denial-of-service attacks, spoofing attacks, reaction attacks, and simple both the selected ciphertext attack and text attacks.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"117 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":"124136298","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/REEDCON57544.2023.10150594
Ghufran Alam Siddiqui, M. F. Baig, Nadeem Akhtar
Opposition control is an innovative technique that has shown promise for reducing turbulence intensity and wall shear stress in turbulent channel flow. The objective of the present work is to develop a Multi Input Multi Output Convolutional Neural Network (CNN) for accurately estimating and controlling the flow in a turbulent channel at a bulk Reynolds number of 3000. We focus on using all three variables, namely, wall pressure, spanwise and streamwise shear-stresses, as inputs to the CNN architecture to predict the wall-normal velocity at different heights of the detection plane (z+ = 10, 15, 20, 25, and 30). The dataset for training the CNN is generated from Direct Numerical Simulation (DNS) of a turbulent channel flow to extract spatial wall information. The correlation coefficients (ρw) between the actual and predicted wall-normal velocities are found to be very high, with values of 0.99, 0.97, 0.94, 0.86, and 0.85 at z+ = 10, 15, 20, 25, and 30, respectively. We also calculated the R2 score, which confirmed the high accuracy of the MIMO-CNN model in predicting wall-normal velocity fluctuations. This indicates the effectiveness of the proposed MIMO-CNN architecture in accurately estimating the flow field in a turbulent channel.
{"title":"Convolutional Neural Networks for Implementing Opposition Control in Turbulent Channel Flows","authors":"Ghufran Alam Siddiqui, M. F. Baig, Nadeem Akhtar","doi":"10.1109/REEDCON57544.2023.10150594","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150594","url":null,"abstract":"Opposition control is an innovative technique that has shown promise for reducing turbulence intensity and wall shear stress in turbulent channel flow. The objective of the present work is to develop a Multi Input Multi Output Convolutional Neural Network (CNN) for accurately estimating and controlling the flow in a turbulent channel at a bulk Reynolds number of 3000. We focus on using all three variables, namely, wall pressure, spanwise and streamwise shear-stresses, as inputs to the CNN architecture to predict the wall-normal velocity at different heights of the detection plane (z+ = 10, 15, 20, 25, and 30). The dataset for training the CNN is generated from Direct Numerical Simulation (DNS) of a turbulent channel flow to extract spatial wall information. The correlation coefficients (ρw) between the actual and predicted wall-normal velocities are found to be very high, with values of 0.99, 0.97, 0.94, 0.86, and 0.85 at z+ = 10, 15, 20, 25, and 30, respectively. We also calculated the R2 score, which confirmed the high accuracy of the MIMO-CNN model in predicting wall-normal velocity fluctuations. This indicates the effectiveness of the proposed MIMO-CNN architecture in accurately estimating the flow field in a turbulent channel.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"116 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":"128018466","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/REEDCON57544.2023.10151423
Faiyaz Ahmad, M. Z. Ansari, S. Hamid, Mohammed Saad
The number of vehicles on the roads are increasing with every passing year. Appropriate measures are required to gain some information about the traffic density for traffic management. Moreover, higher the number of vehicles on roads, higher are the chances of rash driving and Overspeeding. This paper addresses the issue by proposing a vision-based approach to estimate vehicle speed and set up an overall vehicle counter as well a counter of vehicles belonging to different classes. This paper provides practical significance for traffic management on roads. The implementation requires three steps: video acquisition, object detection and multiple object tracking. After video acquisition, the task of vehicle detection is done using YOLOv5 which also classifies the vehicle. To track multiple vehicles in every passing frame of the video, we have used the StrongSORT algorithm which is an improvement of DeepSORT algorithm. The research experiment provided an accuracy of 85.27% for vehicle detection. The accuracy for speed of the vehicles was 87.9% with marginal room for errors from their ground truth values. Moreover, the model performs well in terms of counting the number of vehicles.
{"title":"A Computer Vision based Vehicle Counting and Speed Detection System","authors":"Faiyaz Ahmad, M. Z. Ansari, S. Hamid, Mohammed Saad","doi":"10.1109/REEDCON57544.2023.10151423","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151423","url":null,"abstract":"The number of vehicles on the roads are increasing with every passing year. Appropriate measures are required to gain some information about the traffic density for traffic management. Moreover, higher the number of vehicles on roads, higher are the chances of rash driving and Overspeeding. This paper addresses the issue by proposing a vision-based approach to estimate vehicle speed and set up an overall vehicle counter as well a counter of vehicles belonging to different classes. This paper provides practical significance for traffic management on roads. The implementation requires three steps: video acquisition, object detection and multiple object tracking. After video acquisition, the task of vehicle detection is done using YOLOv5 which also classifies the vehicle. To track multiple vehicles in every passing frame of the video, we have used the StrongSORT algorithm which is an improvement of DeepSORT algorithm. The research experiment provided an accuracy of 85.27% for vehicle detection. The accuracy for speed of the vehicles was 87.9% with marginal room for errors from their ground truth values. Moreover, the model performs well in terms of counting the number of vehicles.","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":"125715974","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/REEDCON57544.2023.10150562
Iman Shakeel, S. Mehfuz, Shahnawaz Ahmad
In recent years, cloud computing has become the preferred method for delivering effective internet services. Within this field, serverless computing has emerged as a standout approach, providing flexibility and agility for building complex applications. Major internet organizations such as Google, Facebook, Amazon, IBM, and Microsoft utilize cloud-based programming to construct large applications that can be managed and upgraded independently. However, infrastructure expenses can be a significant barrier. AWS Lambda and other serverless computing services provide a solution to this problem by offering scalability without requiring additional servers. This paper explores the operational mechanics of AWS Lambda and other AWS services, showcasing how they can be used to create an efficient and cost-effective serverless workflow model.
{"title":"Implementing a Serverless Workflow using AWS Step Function","authors":"Iman Shakeel, S. Mehfuz, Shahnawaz Ahmad","doi":"10.1109/REEDCON57544.2023.10150562","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150562","url":null,"abstract":"In recent years, cloud computing has become the preferred method for delivering effective internet services. Within this field, serverless computing has emerged as a standout approach, providing flexibility and agility for building complex applications. Major internet organizations such as Google, Facebook, Amazon, IBM, and Microsoft utilize cloud-based programming to construct large applications that can be managed and upgraded independently. However, infrastructure expenses can be a significant barrier. AWS Lambda and other serverless computing services provide a solution to this problem by offering scalability without requiring additional servers. This paper explores the operational mechanics of AWS Lambda and other AWS services, showcasing how they can be used to create an efficient and cost-effective serverless workflow model.","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":"121779839","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/REEDCON57544.2023.10151122
Shashi Ranjan, P. Pallavi, U. Lahiri
Hemiplegic individuals are characterized by reduction in their ability on the paretic side leading to gait asymmetry and proneness to fall while walking. Gait asymmetry can be quantified in terms of asymmetry in implicit (related to lower limb muscle activation) and explicit (e.g., step time, %stance, etc.) measures. Although the implicit and explicit measures can be complementary in nature, yet none of the previous studies have looked into the asymmetry in both the explicit and implicit measures of gait of hemiplegic individuals. This is necessary, since similar walking pattern can possibly cause different lower limb muscle activation (affecting implicit measures), though the explicit measures of gait might remain the same/different. Thus, investigating the complementarity in such measures is crucial. Again, the asymmetry measures can be pronounced when one executes multiple tasks during walking simultaneously. In our present study, we computed the asymmetry in the implicit and explicit measures of gait in a time- synched manner by using a wearable system. We conducted a study with 12 healthy and 14 age-matched hemiplegic individuals who walked under single, dual, and multiple task (MTC) conditions. Results of hierarchical clustering showed the importance of complementarity in the asymmetry of implicit and explicit measures under MTC while distinguishing those with gait disorder from their healthy counterparts (classification accuracy: 88%) and identifying the extent of the disorder (classification accuracy: ~85%). Also, the asymmetry in these measures under MTC was found to have clinical relevance with regard to fear of fall.
{"title":"Quantification of Gait Disorder from Asymmetry in Explicit and Implicit Gait Measures of Hemiplegic Post-Stroke Individuals using a Wearable System","authors":"Shashi Ranjan, P. Pallavi, U. Lahiri","doi":"10.1109/REEDCON57544.2023.10151122","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151122","url":null,"abstract":"Hemiplegic individuals are characterized by reduction in their ability on the paretic side leading to gait asymmetry and proneness to fall while walking. Gait asymmetry can be quantified in terms of asymmetry in implicit (related to lower limb muscle activation) and explicit (e.g., step time, %stance, etc.) measures. Although the implicit and explicit measures can be complementary in nature, yet none of the previous studies have looked into the asymmetry in both the explicit and implicit measures of gait of hemiplegic individuals. This is necessary, since similar walking pattern can possibly cause different lower limb muscle activation (affecting implicit measures), though the explicit measures of gait might remain the same/different. Thus, investigating the complementarity in such measures is crucial. Again, the asymmetry measures can be pronounced when one executes multiple tasks during walking simultaneously. In our present study, we computed the asymmetry in the implicit and explicit measures of gait in a time- synched manner by using a wearable system. We conducted a study with 12 healthy and 14 age-matched hemiplegic individuals who walked under single, dual, and multiple task (MTC) conditions. Results of hierarchical clustering showed the importance of complementarity in the asymmetry of implicit and explicit measures under MTC while distinguishing those with gait disorder from their healthy counterparts (classification accuracy: 88%) and identifying the extent of the disorder (classification accuracy: ~85%). Also, the asymmetry in these measures under MTC was found to have clinical relevance with regard to fear of fall.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"214 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":"131920280","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/REEDCON57544.2023.10150473
Manu Singh, V. Shrimali, Paarth Badola
Brain Tumor is rapidly growing problem these days for every age group of people, and thus to accurately detect a tumor, it is essential that we render to automatic brain tumor segmentation. In this study, semantic 3D U-Net segmentation architecture is proposed using Magnetic Resonance Imaging (MRI). Basically this method not only detects the tumor but also convey the location of a tumor. In this, we have applied multiple preprocessing techniques for better results and the resultant of these multiple techniques is fed to the proposed architecture of U-Net. This paper has also tried to minimize the mean-variance problem, handle the different sizes of tumor and also to deal with address imbalance problem. In this study, different parameters are evaluated in terms of brain tumor segmentation i.e. Dice similarity coefficient, Sensitivity, Specificity, Accuracy and Mean IoU. In the study, three classification models have also been used to evaluate the survival rate. The experiments have been evaluated using BraTS 2020 dataset with 98.91% accuracy for segmentation task.
{"title":"Enhanced 3D U-Net Segmentation Architecture for the Detection and Localization of Brain Tumor","authors":"Manu Singh, V. Shrimali, Paarth Badola","doi":"10.1109/REEDCON57544.2023.10150473","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150473","url":null,"abstract":"Brain Tumor is rapidly growing problem these days for every age group of people, and thus to accurately detect a tumor, it is essential that we render to automatic brain tumor segmentation. In this study, semantic 3D U-Net segmentation architecture is proposed using Magnetic Resonance Imaging (MRI). Basically this method not only detects the tumor but also convey the location of a tumor. In this, we have applied multiple preprocessing techniques for better results and the resultant of these multiple techniques is fed to the proposed architecture of U-Net. This paper has also tried to minimize the mean-variance problem, handle the different sizes of tumor and also to deal with address imbalance problem. In this study, different parameters are evaluated in terms of brain tumor segmentation i.e. Dice similarity coefficient, Sensitivity, Specificity, Accuracy and Mean IoU. In the study, three classification models have also been used to evaluate the survival rate. The experiments have been evaluated using BraTS 2020 dataset with 98.91% accuracy for segmentation task.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"42 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":"132806624","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/REEDCON57544.2023.10150653
Rajeev, C. Kumar
Advanced modulation techniques play an important role in high-speed data transmission. For this research work, a 400-channel ultra-dense wavelength division multiplexed (UD-WDM) system is designed and simulated using 100 Gb/s and 160 Gb/s per channel transmission data rates along with channel spacing of 0.2 nm. The designed system is based on two highly spectral efficient modulation techniques, namely differential phase-shift keying (DPSK) and differential quadrature phase-shift keying (DQPSK). The performance of both modulation techniques is analyzed using some performance parameters such as received output power, Quality factor (Q-factor), and bit error rate (BER) with varying transmission distances from 100-2000 km. The results obtained from the simulation show that the DQPSK-based UD-WDM system performs better than the DPSK-based UD-WDM system in terms of Q-factor, BER, and received output power for both 100 Gb/s data rate as well as 160 Gb/s data rate because it is more tolerant to linear and nonlinear effects. At 100 Gb/s data rate for the DQPSK modulated system, the minimum BER value of 10-12, the output power of -36 dBm, and the Q-factor of 15 dB are reported. The minimum BER value of 10-8, maximum Q-factor of 12.2 dB, and the output power of -31 dBm are reported for DQPSK modulated system at 160 Gb/s data rate.
{"title":"Design and analysis of DPSK and DQPSK modulated UD-WDM system at different data rates for long-haul communication","authors":"Rajeev, C. Kumar","doi":"10.1109/REEDCON57544.2023.10150653","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150653","url":null,"abstract":"Advanced modulation techniques play an important role in high-speed data transmission. For this research work, a 400-channel ultra-dense wavelength division multiplexed (UD-WDM) system is designed and simulated using 100 Gb/s and 160 Gb/s per channel transmission data rates along with channel spacing of 0.2 nm. The designed system is based on two highly spectral efficient modulation techniques, namely differential phase-shift keying (DPSK) and differential quadrature phase-shift keying (DQPSK). The performance of both modulation techniques is analyzed using some performance parameters such as received output power, Quality factor (Q-factor), and bit error rate (BER) with varying transmission distances from 100-2000 km. The results obtained from the simulation show that the DQPSK-based UD-WDM system performs better than the DPSK-based UD-WDM system in terms of Q-factor, BER, and received output power for both 100 Gb/s data rate as well as 160 Gb/s data rate because it is more tolerant to linear and nonlinear effects. At 100 Gb/s data rate for the DQPSK modulated system, the minimum BER value of 10-12, the output power of -36 dBm, and the Q-factor of 15 dB are reported. The minimum BER value of 10-8, maximum Q-factor of 12.2 dB, and the output power of -31 dBm are reported for DQPSK modulated system at 160 Gb/s data rate.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"18 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":"130910029","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：