Brain tumor is a serious health condition which can be fatal if not treated on time. Hence it becomes necessary to detect the tumor in initial stages for planning treatment at the earliest. In this paper we have proposed a CNN model for detection of brain tumor. Firstly brain MRI images are augmented to generate sufficient data for deep learning. The images are then pre-processed to remove noise and make images suitable for further steps. The proposed system is trained with pre-processed MRI brain images that classifies newly input image as tumorous or normal based on features extracted during training. Back propagation is used while training to minimize the error and generate more accurate results. Autoencoders are used to generated image which removes irrelevant features and further tumor region is segmented using K-Means algorithm which is a unsupervised learning method.
{"title":"Deep Learning Approach for Brain Tumor Detection and Segmentation","authors":"Gajendra Raut, Aditya Raut, Jeevan Bhagade, Jyoti Bhagade, Sachin Gavhane","doi":"10.1109/ICCDW45521.2020.9318681","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318681","url":null,"abstract":"Brain tumor is a serious health condition which can be fatal if not treated on time. Hence it becomes necessary to detect the tumor in initial stages for planning treatment at the earliest. In this paper we have proposed a CNN model for detection of brain tumor. Firstly brain MRI images are augmented to generate sufficient data for deep learning. The images are then pre-processed to remove noise and make images suitable for further steps. The proposed system is trained with pre-processed MRI brain images that classifies newly input image as tumorous or normal based on features extracted during training. Back propagation is used while training to minimize the error and generate more accurate results. Autoencoders are used to generated image which removes irrelevant features and further tumor region is segmented using K-Means algorithm which is a unsupervised learning method.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115227826","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318700
R. Roy, T. Das, K. Mandal
The optimal reactive power dispatch (ORPD) is one of the most critical problems in power system engineering which is solved to minimize power loss and voltage deviation in the system. This helps in obtaining a more economic and secure operation of the system. Here, this complex and non-linear optimization problem has been formulated as a single objective, with two different objectives, which are optimized one at a time. The objectives considered here are the minimizing both the transmission line losses and the total voltage deviation of the system. This problem can be solved by determining the optimal solution of the different control variables by optimizing the objective functions. In this paper, a newly proposed optimization technique named the JAYA algorithm has been used for solving the ORPD problem. The standard test cases considered in this paper for solving the objective functions are IEEE 14 and IEEE 30 bus systems. The results obtained from the simulation were compared with those from different other already developed and widely used optimization techniques. The comparison of the results proved the superiority of the proposed algorithm amongst others.
{"title":"Optimal Reactive Power Dispatch for Voltage Security using JAYA Algorithm","authors":"R. Roy, T. Das, K. Mandal","doi":"10.1109/ICCDW45521.2020.9318700","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318700","url":null,"abstract":"The optimal reactive power dispatch (ORPD) is one of the most critical problems in power system engineering which is solved to minimize power loss and voltage deviation in the system. This helps in obtaining a more economic and secure operation of the system. Here, this complex and non-linear optimization problem has been formulated as a single objective, with two different objectives, which are optimized one at a time. The objectives considered here are the minimizing both the transmission line losses and the total voltage deviation of the system. This problem can be solved by determining the optimal solution of the different control variables by optimizing the objective functions. In this paper, a newly proposed optimization technique named the JAYA algorithm has been used for solving the ORPD problem. The standard test cases considered in this paper for solving the objective functions are IEEE 14 and IEEE 30 bus systems. The results obtained from the simulation were compared with those from different other already developed and widely used optimization techniques. The comparison of the results proved the superiority of the proposed algorithm amongst others.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127977167","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318684
P. Kulkarni, S. Deshmukh
Distributed generation is now a days one of the mostly used method for the production of electricity in different sectors like residential, commercial and industrial. The resources like solar, wind, hydro, biogas, tidal and biomass are in the race for the production of electrical energy. They are producing electricity independently as well helps in decreasing the pollution which was one of the main reasons to reduce the use of non-renewable sources. Out of several non-conventional energy sources, the source which is extensively used solar energy. Compared with other sources, it has many benefits like it is freely available, abundant in nature, non-polluting, and for conversion it does not require any rotating device. Integration of any system with other increases the performance. Hence to improve its overall efficiency, a solar system can be integrated with thermal, hydro or wind power system. Also, a best suited converter topology will be opted along with an appropriate maximum power point tracking algorithm to make it more effective in operation. But solar energy depends on radiance and temperature which shows it is variable and its power output reduces due to partial shedding in cells. This will alleviate the conversion efficiency of solar system (it is about 17-20%). Hence to increase the solar power output, soft and hard computing algorithms are used in a system which are called as control algorithms. This paper gives the idea regarding two major converter topologies-buck and boost, their comparison, and suitability of converter circuit for solar applications. Also, the paper focuses on different hard and soft computing methods which works to capture the optimum power point and related control algorithms.
{"title":"To Optimize the Conduct of a Photovoltaic Structure using Different DC-DC Conversion Topologies with Emerging Methods for Control Algorithms","authors":"P. Kulkarni, S. Deshmukh","doi":"10.1109/ICCDW45521.2020.9318684","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318684","url":null,"abstract":"Distributed generation is now a days one of the mostly used method for the production of electricity in different sectors like residential, commercial and industrial. The resources like solar, wind, hydro, biogas, tidal and biomass are in the race for the production of electrical energy. They are producing electricity independently as well helps in decreasing the pollution which was one of the main reasons to reduce the use of non-renewable sources. Out of several non-conventional energy sources, the source which is extensively used solar energy. Compared with other sources, it has many benefits like it is freely available, abundant in nature, non-polluting, and for conversion it does not require any rotating device. Integration of any system with other increases the performance. Hence to improve its overall efficiency, a solar system can be integrated with thermal, hydro or wind power system. Also, a best suited converter topology will be opted along with an appropriate maximum power point tracking algorithm to make it more effective in operation. But solar energy depends on radiance and temperature which shows it is variable and its power output reduces due to partial shedding in cells. This will alleviate the conversion efficiency of solar system (it is about 17-20%). Hence to increase the solar power output, soft and hard computing algorithms are used in a system which are called as control algorithms. This paper gives the idea regarding two major converter topologies-buck and boost, their comparison, and suitability of converter circuit for solar applications. Also, the paper focuses on different hard and soft computing methods which works to capture the optimum power point and related control algorithms.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128024384","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318660
Ajay Kumar, Aruna Pavate, K. Abhishek, A. Thakare, Mansi Shah
Landmine removal is a basic issue looked by numerous nations around the globe, and the circumstance can be intensified during cataclysmic events or land advancement. Along these lines, it is an earnest issue to identify landmines in the ground and evacuate them securely. The procedure of landmine expulsion begins with the discovery of landmines in the ground. This exploration surveys the advancement and utilizations of Ground Penetrating Radar (GPR) innovation to address the difficulties of dependably distinguishing landmines. The accentuation is on the significance of the GPR system in landmine recognition execution to non military personnel or helpful demining programs. Ground Penetrating Radar (GPR) is a ultra-wideband radar that gives centimeter goals to find even little targets. There are two particular kinds of GPR approaches viz. time space and frequency domain. For the experimentation, at first a ground penetration radar is utilized to create informational collection, which is then prepared utilizing A, B and C scans to lessen the commotion to get landmine signals. At that point the migration algorithm is applied to the images got from Ground Penetrating Radar. From the output of the migration algorithm, landmine signals are processed, which are utilized as features of each landmine for recognition and distinguishing proof. As different articles are distinguished after the movement calculation, a determination method is applied to identify only signals of landmines and dispose of different items. Along these lines, an end to end pipeline for landmine recognition is proposed and assessed with a baseline strategy to highlight its viability.
{"title":"Landmines Detection Using Migration and Selection Algorithm on Ground Penetrating Radar Images","authors":"Ajay Kumar, Aruna Pavate, K. Abhishek, A. Thakare, Mansi Shah","doi":"10.1109/ICCDW45521.2020.9318660","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318660","url":null,"abstract":"Landmine removal is a basic issue looked by numerous nations around the globe, and the circumstance can be intensified during cataclysmic events or land advancement. Along these lines, it is an earnest issue to identify landmines in the ground and evacuate them securely. The procedure of landmine expulsion begins with the discovery of landmines in the ground. This exploration surveys the advancement and utilizations of Ground Penetrating Radar (GPR) innovation to address the difficulties of dependably distinguishing landmines. The accentuation is on the significance of the GPR system in landmine recognition execution to non military personnel or helpful demining programs. Ground Penetrating Radar (GPR) is a ultra-wideband radar that gives centimeter goals to find even little targets. There are two particular kinds of GPR approaches viz. time space and frequency domain. For the experimentation, at first a ground penetration radar is utilized to create informational collection, which is then prepared utilizing A, B and C scans to lessen the commotion to get landmine signals. At that point the migration algorithm is applied to the images got from Ground Penetrating Radar. From the output of the migration algorithm, landmine signals are processed, which are utilized as features of each landmine for recognition and distinguishing proof. As different articles are distinguished after the movement calculation, a determination method is applied to identify only signals of landmines and dispose of different items. Along these lines, an end to end pipeline for landmine recognition is proposed and assessed with a baseline strategy to highlight its viability.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126741907","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318705
Prajwal Ravishankar, G. Geethakumari
An overwhelming majority of the devices in the IoT ecosystem are severely constrained in terms of computing power and security, the former being one of the causes of numerous security concerns. This paper provides an efficient light-weight Convolutional Neural Network (CNN) based architecture for classification of IoT binary executables as malware or benign taking into account the severely constrained computing capabilities of the targeted devices. The proposed architecture facilitates faster classification of IoT binaries as benign or malignant using a reasonable number of parameters. The results of the experiment show that the proposed solution achieves an accuracy of around 95% using approximately 360,000 parameters. The number of parameters used in the proposed work is much less compared to what other neural network based models would use.
{"title":"Classification of IoT Binaries in Resource Constrained Environments","authors":"Prajwal Ravishankar, G. Geethakumari","doi":"10.1109/ICCDW45521.2020.9318705","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318705","url":null,"abstract":"An overwhelming majority of the devices in the IoT ecosystem are severely constrained in terms of computing power and security, the former being one of the causes of numerous security concerns. This paper provides an efficient light-weight Convolutional Neural Network (CNN) based architecture for classification of IoT binary executables as malware or benign taking into account the severely constrained computing capabilities of the targeted devices. The proposed architecture facilitates faster classification of IoT binaries as benign or malignant using a reasonable number of parameters. The results of the experiment show that the proposed solution achieves an accuracy of around 95% using approximately 360,000 parameters. The number of parameters used in the proposed work is much less compared to what other neural network based models would use.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130969500","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318662
Yasmeen Shaikh, V. Parvati, S. R. Biradar
One of the major issues to worry nowadays is the busy life cycle people follow and the effect they have on the health. This busy life cycle has made people to neglect their health. In India many people are below poverty line and even majority of population stays in rural places and cost of medical treatment is too high. Under these situations, it is not feasible for people to afford costly medical treatment. We have seen people being admitted to hospitals at the last hour and being forced to follow traditional medical practices and lose their lives. To address this issue, we need a remote health monitoring system that could alert people about their health condition and people can get medical diagnosis done remotely. In this paper, we discuss, the role played by IoT and bigdata analytics in the field of healthcare. We also discuss the benefits, challenges and applications of these technologies. We propose a system to monitor heart condition of a patient using IoT which alerts the patient or doctor if any abnormality is observed. This system could further be scaled to provide real time health monitoring to predict various diseases using bigdata and ml analytics.
{"title":"Role of IoT and Bigdata Analytics in Healthcare for Disease Prediction","authors":"Yasmeen Shaikh, V. Parvati, S. R. Biradar","doi":"10.1109/ICCDW45521.2020.9318662","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318662","url":null,"abstract":"One of the major issues to worry nowadays is the busy life cycle people follow and the effect they have on the health. This busy life cycle has made people to neglect their health. In India many people are below poverty line and even majority of population stays in rural places and cost of medical treatment is too high. Under these situations, it is not feasible for people to afford costly medical treatment. We have seen people being admitted to hospitals at the last hour and being forced to follow traditional medical practices and lose their lives. To address this issue, we need a remote health monitoring system that could alert people about their health condition and people can get medical diagnosis done remotely. In this paper, we discuss, the role played by IoT and bigdata analytics in the field of healthcare. We also discuss the benefits, challenges and applications of these technologies. We propose a system to monitor heart condition of a patient using IoT which alerts the patient or doctor if any abnormality is observed. This system could further be scaled to provide real time health monitoring to predict various diseases using bigdata and ml analytics.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129254564","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318722
Deepali Maste, Nikita Patil, M. Meena
Digitalization has an impact on the healthcare system too and the result can be seen in improvements in the medical field. All healthcare components like doctors, hospitals, clinics, diagnostic centers are working together to increase life expectancy using advanced digital tools. Method of diagnosis is also changing as decisions by doctors are based on case study and analysis rather than individual perception. So to deal with more perfection towards treatment and to apply reliable methods for patient more consistent way of recording data, status and stage of diagnosis is needed. Databases generated at each stage need to be stored, secured, compatible, standard and useful for diagnosis as well as preventive healthcare. The procedures for receiving medical care through digital medium is under drastic change in most of the nations, healthcare professionals need to adapt it for better outcomes. The new regulations now encourage saving patient records or databases for the services rendered in a given format like EHR or EMR. In this paper review is done to study current developments in the medical field related to digitalization. And it is observed that a huge amount of biomedical data generated through digitalization needs to be optimized. And also to make possible the interoperability of individual dataset and integration of clinical and biomedical data into biomedical data science.
{"title":"Review of Healthcare Database","authors":"Deepali Maste, Nikita Patil, M. Meena","doi":"10.1109/ICCDW45521.2020.9318722","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318722","url":null,"abstract":"Digitalization has an impact on the healthcare system too and the result can be seen in improvements in the medical field. All healthcare components like doctors, hospitals, clinics, diagnostic centers are working together to increase life expectancy using advanced digital tools. Method of diagnosis is also changing as decisions by doctors are based on case study and analysis rather than individual perception. So to deal with more perfection towards treatment and to apply reliable methods for patient more consistent way of recording data, status and stage of diagnosis is needed. Databases generated at each stage need to be stored, secured, compatible, standard and useful for diagnosis as well as preventive healthcare. The procedures for receiving medical care through digital medium is under drastic change in most of the nations, healthcare professionals need to adapt it for better outcomes. The new regulations now encourage saving patient records or databases for the services rendered in a given format like EHR or EMR. In this paper review is done to study current developments in the medical field related to digitalization. And it is observed that a huge amount of biomedical data generated through digitalization needs to be optimized. And also to make possible the interoperability of individual dataset and integration of clinical and biomedical data into biomedical data science.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116943937","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318727
Lavany Jadhav, Kapil Parekh, Vikas Gupta, S. Chandak
In this paper, we extend the use of Virtual Reality for treating various phobias. Virtual reality is used to therapeutically treat phobias efficiently. The study suggests in phobias the excessive amount of fear doesn't correspond to the potential amount of danger of stimulus. In the trivial therapeutic method, the patient is unable to experience the stimulus as the treatment lacks projection of stimulus, here we use exposure-based treatment for patients by creating a virtual environment. The patients are examined and categorized based on the degree of fear, correspondingly a virtual environment is modeled based on each category. An examination is considered during mediated pathways, which suggest a reduction in the severity of the phobia symptoms during the treatment. The significant changes in the behavior are recorded for iterative refinements.
{"title":"Using Virtual Reality for Therapeutic Treatment of Phobia","authors":"Lavany Jadhav, Kapil Parekh, Vikas Gupta, S. Chandak","doi":"10.1109/ICCDW45521.2020.9318727","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318727","url":null,"abstract":"In this paper, we extend the use of Virtual Reality for treating various phobias. Virtual reality is used to therapeutically treat phobias efficiently. The study suggests in phobias the excessive amount of fear doesn't correspond to the potential amount of danger of stimulus. In the trivial therapeutic method, the patient is unable to experience the stimulus as the treatment lacks projection of stimulus, here we use exposure-based treatment for patients by creating a virtual environment. The patients are examined and categorized based on the degree of fear, correspondingly a virtual environment is modeled based on each category. An examination is considered during mediated pathways, which suggest a reduction in the severity of the phobia symptoms during the treatment. The significant changes in the behavior are recorded for iterative refinements.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126655413","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318649
K. Nikum, R. Saxena, Abhay Wagh, Priti Singh
The question of power quality issues are rapidly increasing and require new technologies to deal with these power quality issues in industries. Flexible alternating current transmission systems (FACTS) are modern devices in power system for maintaining power factor and stability. This paper deals with a modified switching and design of static var compensator (SVC). The proposed SVC model is designed which is economical, highly reliable, and uses fully indigenously developed technology. The design of SVC with harmonic filters has been discussed with a new switching concept.
{"title":"Economical Approach for SVC Systems to Improve Power Quality using Fully Indigenous Technology","authors":"K. Nikum, R. Saxena, Abhay Wagh, Priti Singh","doi":"10.1109/ICCDW45521.2020.9318649","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318649","url":null,"abstract":"The question of power quality issues are rapidly increasing and require new technologies to deal with these power quality issues in industries. Flexible alternating current transmission systems (FACTS) are modern devices in power system for maintaining power factor and stability. This paper deals with a modified switching and design of static var compensator (SVC). The proposed SVC model is designed which is economical, highly reliable, and uses fully indigenously developed technology. The design of SVC with harmonic filters has been discussed with a new switching concept.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132453171","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318695
S. Ramesh, Natarajan Krishnaier
Indian educational satellite, EDUSAT, launched from GSLV was the world's first dedicated satellite to provide education to rural and urban students through Virtual Classrooms. Around 15 million students across 26 States of India receive education each year. UNESCO's Institute for Statistics (UIS) suggests that, over 68 million trained school teachers will be needed across the world to achieve the objective of Universal Education Goal. To realize this, we require conventional education, as well as Satellite Networks that foster interactive and inexpensive distance education through e-learning. This type of learning process will provide education for all. The Indian educational satellite networks are compared with those of other nations to understand the methodologies to improve literacy. The value addition provided by educational technologies like Artificial Intelligence, Cloud Computing, Big Data, Augmented Reality, Virtual Classroom, etc. in association with satellite networks, is also investigated. In the urban areas and Smart Cities, high tech education is best implemented by using high bandwidth satellite networks in conjunction with high speed terrestrial optical fiber links and modern EdTech. This paper examines the synergistic utilization of educational technologies with ubiquitous connectivity of satellites to provide education to tribal as well as remote hilly regions like the recently created Union Territory of Ladakh. This study gives input to the initiatives of the Ministry of Human Resources Development (MHRD) of the Government of India for the proposed New Education Policy (NEP), which envisages equitable and inclusive education for all.
{"title":"A Study of Satellite Networks and Educational Technologies for Ubiquitous Education","authors":"S. Ramesh, Natarajan Krishnaier","doi":"10.1109/ICCDW45521.2020.9318695","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318695","url":null,"abstract":"Indian educational satellite, EDUSAT, launched from GSLV was the world's first dedicated satellite to provide education to rural and urban students through Virtual Classrooms. Around 15 million students across 26 States of India receive education each year. UNESCO's Institute for Statistics (UIS) suggests that, over 68 million trained school teachers will be needed across the world to achieve the objective of Universal Education Goal. To realize this, we require conventional education, as well as Satellite Networks that foster interactive and inexpensive distance education through e-learning. This type of learning process will provide education for all. The Indian educational satellite networks are compared with those of other nations to understand the methodologies to improve literacy. The value addition provided by educational technologies like Artificial Intelligence, Cloud Computing, Big Data, Augmented Reality, Virtual Classroom, etc. in association with satellite networks, is also investigated. In the urban areas and Smart Cities, high tech education is best implemented by using high bandwidth satellite networks in conjunction with high speed terrestrial optical fiber links and modern EdTech. This paper examines the synergistic utilization of educational technologies with ubiquitous connectivity of satellites to provide education to tribal as well as remote hilly regions like the recently created Union Territory of Ladakh. This study gives input to the initiatives of the Ministry of Human Resources Development (MHRD) of the Government of India for the proposed New Education Policy (NEP), which envisages equitable and inclusive education for all.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131836074","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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