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/ICEEICT53079.2022.9768590
A. Mubarak, M. Asmelash, A. Azhari, Tamiru Alemu, Freselam Mulubrhan, K. Saptaji
This paper introduces the idea of implementing digital twin for predictive maintenance under open system architecture. Predictive maintenance (PdM) is critical to machines operating under complex working conditions to prevent major and unexpected machine failures and production downtime. A cost and reliability optimized predictive maintenance framework for industry 4.0 machines key parts based on qualitative and quantitative analysis of monitoring data is proposed. Employing machine learning and advanced analytics for data fusion for PdM promises for accurate failure diagnostics and prognostics in addition to optimized maintenance decisions. Furthermore, a cost effective maintenance framework can be implemented under reliability centered maintenance strategy. The qualitative and quantitative analysis will help the decision-making process that leads to accurate predictive maintenance strategies. The proposed method is expected to provide cost-effective maintenance and improved intelligence of the predictive process and the accuracy of predictive results.
{"title":"Digital Twin Enabled Industry 4.0 Predictive Maintenance Under Reliability-Centred Strategy","authors":"A. Mubarak, M. Asmelash, A. Azhari, Tamiru Alemu, Freselam Mulubrhan, K. Saptaji","doi":"10.1109/ICEEICT53079.2022.9768590","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768590","url":null,"abstract":"This paper introduces the idea of implementing digital twin for predictive maintenance under open system architecture. Predictive maintenance (PdM) is critical to machines operating under complex working conditions to prevent major and unexpected machine failures and production downtime. A cost and reliability optimized predictive maintenance framework for industry 4.0 machines key parts based on qualitative and quantitative analysis of monitoring data is proposed. Employing machine learning and advanced analytics for data fusion for PdM promises for accurate failure diagnostics and prognostics in addition to optimized maintenance decisions. Furthermore, a cost effective maintenance framework can be implemented under reliability centered maintenance strategy. The qualitative and quantitative analysis will help the decision-making process that leads to accurate predictive maintenance strategies. The proposed method is expected to provide cost-effective maintenance and improved intelligence of the predictive process and the accuracy of predictive results.","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":"123515766","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/ICEEICT53079.2022.9768436
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/ICEEICT53079.2022.9768415
N. A. Kumar, G. S. Satapathi, M. Anuradha
In this paper a novel technique on automated optical disk (OD) segmentation is proposed. The proposed OD algorithm depends on morphological based algorithm. This technique is assessed on openly accessible standard data sets DRIONS. The average accuracy rate of proposed segmented technique is 97.6% on DRIONS database. The proposed algorithm achieved Average Sensitivity, Average Specificity and Average Overlap of 93.1 %, 98.4% and 86.3% respectively on DRIONS data sets. Test results shows the algorithm is superior with comparable execution time over existing OD algorithms. Further, the algorithm has been implemented in System-on-chip (Zync-7000) kit.
{"title":"System-on-chip based Automated Optic Disk Segmentation in Retinal Images","authors":"N. A. Kumar, G. S. Satapathi, M. Anuradha","doi":"10.1109/ICEEICT53079.2022.9768415","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768415","url":null,"abstract":"In this paper a novel technique on automated optical disk (OD) segmentation is proposed. The proposed OD algorithm depends on morphological based algorithm. This technique is assessed on openly accessible standard data sets DRIONS. The average accuracy rate of proposed segmented technique is 97.6% on DRIONS database. The proposed algorithm achieved Average Sensitivity, Average Specificity and Average Overlap of 93.1 %, 98.4% and 86.3% respectively on DRIONS data sets. Test results shows the algorithm is superior with comparable execution time over existing OD algorithms. Further, the algorithm has been implemented in System-on-chip (Zync-7000) kit.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"77 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":"124525250","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/ICEEICT53079.2022.9768599
J. Cornejo, Juan Palacios, Antonio Escobar, Yordan Torres
In the year 2020, countries were in a race against the spread of Covid-19, leading to major deficiencies in the areas of health, economy, and construction. For this reason, the robotics industry emerged as a viable and safe option to perform important and critical tasks in different sectors, one of them is the real estate. For this reason, a robotic arm was designed to wall painting, this study is supported by the mechatronics engineering department of the Universidad Tecnológica del Perú. The designed robot called: “UTP-ISR01” has 6 axes and a linear displacement of 2.8 m with turns of 0.24 sec/60°. For the calculation of the forward kinematics the Denavit Hartenberg method was used, then the homogeneous transformation matrices were used to calculate the rotation and translation movements of the robotic manipulator. With the equations identified in the inverse kinematics, the positions and orientations of the robot were plotted, as well as the dimensions of the working area. The CAD design was carried out with engineering software, such as Autodesk Inventor for the mechanical design and assembly of the parts. In addition, with RoboDK software, kinematic simulations and analysis were performed. In conclusion, the robotic arm will reduce the delivery times of the apartments built by the real estate companies.
2020年，各国竞相抗击新冠肺炎疫情，导致卫生、经济、建设等领域出现重大不足。出于这个原因，机器人行业成为在不同领域执行重要和关键任务的可行和安全的选择，其中之一就是房地产。为此，设计了一个机械臂来粉刷墙壁，这项研究得到了universsidad Tecnológica del Perú机电工程系的支持。所设计的机器人名为“UTP-ISR01”，有6个轴，线性位移为2.8 m，匝数为0.24秒/60°。采用Denavit Hartenberg法计算机器人的正运动学，然后采用齐次变换矩阵计算机器人的旋转和平移运动。通过在运动学逆解中确定的方程，绘制出机器人的位置和姿态，以及工作区域的尺寸。采用Autodesk Inventor等工程软件进行CAD设计，对零件进行机械设计和装配。此外，利用RoboDK软件进行了运动学仿真和分析。总之，机械臂将减少房地产公司建造公寓的交付时间。
{"title":"Mechatronics Design and Kinematic Simulation of UTP-ISR01 Robot with 6-DOF Anthropomorphic Configuration for Flexible Wall Painting","authors":"J. Cornejo, Juan Palacios, Antonio Escobar, Yordan Torres","doi":"10.1109/ICEEICT53079.2022.9768599","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768599","url":null,"abstract":"In the year 2020, countries were in a race against the spread of Covid-19, leading to major deficiencies in the areas of health, economy, and construction. For this reason, the robotics industry emerged as a viable and safe option to perform important and critical tasks in different sectors, one of them is the real estate. For this reason, a robotic arm was designed to wall painting, this study is supported by the mechatronics engineering department of the Universidad Tecnológica del Perú. The designed robot called: “UTP-ISR01” has 6 axes and a linear displacement of 2.8 m with turns of 0.24 sec/60°. For the calculation of the forward kinematics the Denavit Hartenberg method was used, then the homogeneous transformation matrices were used to calculate the rotation and translation movements of the robotic manipulator. With the equations identified in the inverse kinematics, the positions and orientations of the robot were plotted, as well as the dimensions of the working area. The CAD design was carried out with engineering software, such as Autodesk Inventor for the mechanical design and assembly of the parts. In addition, with RoboDK software, kinematic simulations and analysis were performed. In conclusion, the robotic arm will reduce the delivery times of the apartments built by the real estate companies.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"28 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":"127704083","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/ICEEICT53079.2022.9768434
K. Ramaabirami, G. Ram Sundar
The medical system is a developing innovation engine and spreads far more advanced, like humans care and offer a variety of choices for consumer health. Health is an important factor for human resource development which plays an important role in improving quality of the people. Because they are the active players in the economy development. Better prosperity will contribute to the improvement of economic situation of the poor and overall improvement of the country. When analysing the patient support system, every patient is only connected with their respective health care. During an emergency, it is impossible to identify a patient's history and leads to major loss in human lives. Thiswork focus on cloud computing to achieve an efficient maintenance of patient's history. This helps to save the life of a patient on time and can avoid the medical losses. This core medical system mainly focuses on effective maintenance of patient's history, timely assistance, reduces the medical expenditures, and minimizes data duplication and prescribing or reference. This medical care system is needed to improve the quality and quantity of the health care system. The proposed system will be more useful with the help of patient record through monitoring and evaluation system during emergency cases.
{"title":"An Enhanced and highly Authenticated Medical Treatment for an Emergency Management System using Cloud Computing","authors":"K. Ramaabirami, G. Ram Sundar","doi":"10.1109/ICEEICT53079.2022.9768434","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768434","url":null,"abstract":"The medical system is a developing innovation engine and spreads far more advanced, like humans care and offer a variety of choices for consumer health. Health is an important factor for human resource development which plays an important role in improving quality of the people. Because they are the active players in the economy development. Better prosperity will contribute to the improvement of economic situation of the poor and overall improvement of the country. When analysing the patient support system, every patient is only connected with their respective health care. During an emergency, it is impossible to identify a patient's history and leads to major loss in human lives. Thiswork focus on cloud computing to achieve an efficient maintenance of patient's history. This helps to save the life of a patient on time and can avoid the medical losses. This core medical system mainly focuses on effective maintenance of patient's history, timely assistance, reduces the medical expenditures, and minimizes data duplication and prescribing or reference. This medical care system is needed to improve the quality and quantity of the health care system. The proposed system will be more useful with the help of patient record through monitoring and evaluation system during emergency cases.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"21 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":"117127870","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/ICEEICT53079.2022.9768404
Ramprasath Selvaraj, K. Chittibabu, Muthumariyammal Anandharaj, Rameshbabu Perumal
This work presents a systematic and analytical investigation of non-isolated Hybrid Quadratic Boost Converter (HQBC) topology from the Reduced Redundant Power Processing (R2P2) converter family. The voltage conversion is performed by a single switch with a pair of inductor and capacitor. Due to the suggested HQBC quadratic behavior, significant voltage gain may be attained with a modest variation in duty cycle. The theoretical study of the converter's effective step-up voltage ratio and current stresses under continuous conduction mode, are emphasized. Steady state and dynamic modeling were used to examine the behavior of proposed converter. Steady state average equation was derived and a model was designed for 500 w and simulated in MATLAB/ Simulink. The Design and performance analysis of the suggested converter typologies is validated by simulation results.
{"title":"Modeling and Analysis of Hybrid Quadratic Boost Converter in MATLAB/Simulink Environment","authors":"Ramprasath Selvaraj, K. Chittibabu, Muthumariyammal Anandharaj, Rameshbabu Perumal","doi":"10.1109/ICEEICT53079.2022.9768404","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768404","url":null,"abstract":"This work presents a systematic and analytical investigation of non-isolated Hybrid Quadratic Boost Converter (HQBC) topology from the Reduced Redundant Power Processing (R2P2) converter family. The voltage conversion is performed by a single switch with a pair of inductor and capacitor. Due to the suggested HQBC quadratic behavior, significant voltage gain may be attained with a modest variation in duty cycle. The theoretical study of the converter's effective step-up voltage ratio and current stresses under continuous conduction mode, are emphasized. Steady state and dynamic modeling were used to examine the behavior of proposed converter. Steady state average equation was derived and a model was designed for 500 w and simulated in MATLAB/ Simulink. The Design and performance analysis of the suggested converter typologies is validated by simulation results.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"2 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":"114613180","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/ICEEICT53079.2022.9768465
Shushma Gb, I. Jacob
The speech emotion is a critical human communication, which unquestionably involves a high level of happiness or sadness communication between people contacts. The sentimental feeling varies in significant proportions among different languages across the other regions over the world. The recognition of emotional states is a reasonably new method in the field of machine learning and AI. The paper presents the study and the performance results of a system for emotion taxonomy. The emotion can be expressed in ways that can be seen, such as makeover terminologies. The analyses on the Autism spectrum disorder(ASD) recorded voice data set are converted into text data. However, in this research paper, we are interested in detecting emotions from the various textual dataset as well as using semantic data augmentation process to fill a few of the words, sentences, or half-broken words, as the Autism spectrum disorder (ASD) patients lack the social communication skills, as the patient does not very well articulate their communication.
{"title":"A Semantic Approach for Computing Speech Emotion Text Classification Using Machine Learning Algorithms","authors":"Shushma Gb, I. Jacob","doi":"10.1109/ICEEICT53079.2022.9768465","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768465","url":null,"abstract":"The speech emotion is a critical human communication, which unquestionably involves a high level of happiness or sadness communication between people contacts. The sentimental feeling varies in significant proportions among different languages across the other regions over the world. The recognition of emotional states is a reasonably new method in the field of machine learning and AI. The paper presents the study and the performance results of a system for emotion taxonomy. The emotion can be expressed in ways that can be seen, such as makeover terminologies. The analyses on the Autism spectrum disorder(ASD) recorded voice data set are converted into text data. However, in this research paper, we are interested in detecting emotions from the various textual dataset as well as using semantic data augmentation process to fill a few of the words, sentences, or half-broken words, as the Autism spectrum disorder (ASD) patients lack the social communication skills, as the patient does not very well articulate their communication.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"68 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":"127161787","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/ICEEICT53079.2022.9768405
M. S. Eswari, S. Balamurali
Glaucoma is a group of diseases in which the nerve linking the eyes to the brain becomes destroyed, typically as a result of excessive intraocular pressure. The much more prevalent type of glaucoma diseases frequently manifests itself through gradual eyesight impairment. This kind of visual loss due to glaucoma is called open angle glaucoma and although this kind of angular glaucoma is uncommon, it is a clinical crisis with some indications such as eye pain and anxiety as well as acute vision disruption. In this paper, a new deep learning mechanism is used to identify the glaucoma disease in an intense manner, which is called Deep Neural Classification Network (DNCN). This proposed approach identifies the glaucoma disease efficiently by analyzing the retinal images with respect to two form factors such as Optical Coherence Tomography (OCT) and Retinal Fundus Images. The proposed DNCN model processes the retinal image based on the different processing procedures such as pre-processing, feature extraction, filtration and classification, in which it assures the accuracy ratio of 97.3% in outcome with the error rate of 0.27%.
{"title":"A Pragmatic Glaucoma Detection Based On Deep Neural Network Strategy","authors":"M. S. Eswari, S. Balamurali","doi":"10.1109/ICEEICT53079.2022.9768405","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768405","url":null,"abstract":"Glaucoma is a group of diseases in which the nerve linking the eyes to the brain becomes destroyed, typically as a result of excessive intraocular pressure. The much more prevalent type of glaucoma diseases frequently manifests itself through gradual eyesight impairment. This kind of visual loss due to glaucoma is called open angle glaucoma and although this kind of angular glaucoma is uncommon, it is a clinical crisis with some indications such as eye pain and anxiety as well as acute vision disruption. In this paper, a new deep learning mechanism is used to identify the glaucoma disease in an intense manner, which is called Deep Neural Classification Network (DNCN). This proposed approach identifies the glaucoma disease efficiently by analyzing the retinal images with respect to two form factors such as Optical Coherence Tomography (OCT) and Retinal Fundus Images. The proposed DNCN model processes the retinal image based on the different processing procedures such as pre-processing, feature extraction, filtration and classification, in which it assures the accuracy ratio of 97.3% in outcome with the error rate of 0.27%.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"26 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":"125426742","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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