The research article presents a learner friendly Recommendation System of an E-Learning framework which is based on (DEW) Cloud Computing and providing service in an effective and economic way for delivering educational/academic course to remote places of North-Eastern region of India. Generally, in regions where learners do not get much opportunity to use new technologies for effective and quality learning this system is a very useful and convenient tool. E-Learning (rather U-Learning) based recommendation system is discussed for less resourced community, i.e. North Eastern language community (e.g., Khasi or/and Kokborok) for learning English where the medium of instruction is in local/tribal languages or mother tongue supported by modules and instructor (a blended learning approach). A semi-supervised ELL (i.e., English language learning) course is recommended to the learner on the basis of learners” aptitude/caliber on English language. Recommendation system is based on Django framework encoded in python programming language. The ELL (English Language Learning) courses are designed for secondary section learners from North-Eastern states of India with features like, data analytics (for recommendation system), and descriptive language teaching methodology.
{"title":"E-Learning based Recommendation System for Less Resourced Learners","authors":"Sangam Kumar Chaturvedi, Aparupa Dasgupta, Barnali Pal, Nabarun Bhattacharyya","doi":"10.1109/ICEEICT53079.2022.9768438","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768438","url":null,"abstract":"The research article presents a learner friendly Recommendation System of an E-Learning framework which is based on (DEW) Cloud Computing and providing service in an effective and economic way for delivering educational/academic course to remote places of North-Eastern region of India. Generally, in regions where learners do not get much opportunity to use new technologies for effective and quality learning this system is a very useful and convenient tool. E-Learning (rather U-Learning) based recommendation system is discussed for less resourced community, i.e. North Eastern language community (e.g., Khasi or/and Kokborok) for learning English where the medium of instruction is in local/tribal languages or mother tongue supported by modules and instructor (a blended learning approach). A semi-supervised ELL (i.e., English language learning) course is recommended to the learner on the basis of learners” aptitude/caliber on English language. Recommendation system is based on Django framework encoded in python programming language. The ELL (English Language Learning) courses are designed for secondary section learners from North-Eastern states of India with features like, data analytics (for recommendation system), and descriptive language teaching methodology.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"57 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":"117064431","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/ICEEICT53079.2022.9768625
G. Ramesh, V. R. Babu
This paper presents a new positive output voltage buck-boost converter is introduced, so that voltage gain is squared the times of conventional buck-boost converter with positive voltage polarities, these advantages enable to work in wide range of applications. It is essential to stabilize the output voltage of DC to DC (Chopper) converter, a suitable controller is necessary for that design and implementation of linear PI controller and Nonlinear Fuzzy controllers are employed. The steady-state as well as transient analysis have been done for both the PI and Fuzzy control techniques with the help of MATLAB/Simulink platform. A comparison analysis is made between both the methods in terms of their performance. In ordered to check the feasibility of the converter and PI controller, the small-scale experimental setup has been fabricated in the laboratory environment and validation has been done by experimental results for the buck-boost converter along with closed loop PI control strategy.
{"title":"Comparative Study of PI and Fuzzy Control Strategies to A Novel Buck-Boost Converter","authors":"G. Ramesh, V. R. Babu","doi":"10.1109/ICEEICT53079.2022.9768625","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768625","url":null,"abstract":"This paper presents a new positive output voltage buck-boost converter is introduced, so that voltage gain is squared the times of conventional buck-boost converter with positive voltage polarities, these advantages enable to work in wide range of applications. It is essential to stabilize the output voltage of DC to DC (Chopper) converter, a suitable controller is necessary for that design and implementation of linear PI controller and Nonlinear Fuzzy controllers are employed. The steady-state as well as transient analysis have been done for both the PI and Fuzzy control techniques with the help of MATLAB/Simulink platform. A comparison analysis is made between both the methods in terms of their performance. In ordered to check the feasibility of the converter and PI controller, the small-scale experimental setup has been fabricated in the laboratory environment and validation has been done by experimental results for the buck-boost converter along with closed loop PI control strategy.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"91 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":"121143134","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/ICEEICT53079.2022.9768428
M. S. Bennet Praba, Udith Rajeev, A. Rathore, Ankit Kolangarath
Real estate can be confusing, unclear, disoriented and many a times the price or listings are put up randomly what the seller decides. Such a system makes it difficult for buyers to make reliable decisions also for a seller to determine what price must he put up the listing or what their property is worth. There are various aspects that decide the price of a property - proximity to public transport, cities, neighborhood and cultural aspects, availability, furnish status, etc. A model has to be deployed to provide accurate real estate decisions that are based on a variety of features and tags related to the property. To estimate such a value real time, we need a real time data source to help a community or individual determine the actual deserving value for their property they wish to buy or sell. This system looks to deploy well designed models that can adjust to variations in data due to geographical, economic and political differences by modelling real time data using an API
{"title":"Real Time Automation on Real Estate using API","authors":"M. S. Bennet Praba, Udith Rajeev, A. Rathore, Ankit Kolangarath","doi":"10.1109/ICEEICT53079.2022.9768428","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768428","url":null,"abstract":"Real estate can be confusing, unclear, disoriented and many a times the price or listings are put up randomly what the seller decides. Such a system makes it difficult for buyers to make reliable decisions also for a seller to determine what price must he put up the listing or what their property is worth. There are various aspects that decide the price of a property - proximity to public transport, cities, neighborhood and cultural aspects, availability, furnish status, etc. A model has to be deployed to provide accurate real estate decisions that are based on a variety of features and tags related to the property. To estimate such a value real time, we need a real time data source to help a community or individual determine the actual deserving value for their property they wish to buy or sell. This system looks to deploy well designed models that can adjust to variations in data due to geographical, economic and political differences by modelling real time data using an API","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"66 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":"125144149","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/ICEEICT53079.2022.9768641
Utkarsh Lal, Priyanka Kamath
Good quality of data preprocessing will have a greater impact on improving the performance of the classification models. Negation is one of the most important features in textual data. Only one negation word can change the polarity of the whole sentence. It is often seen that words like ‘not’, ‘non’ or suffixes like “n't” are removed during noise removal thereby leading to blunders in Sentiment Classification. Effective Feature extraction is the cornerstone of effective Sentiment Analysis and Negation handling is simply essential for this purpose. In this paper, an effective function for handling negations based on First Sentiment Word (FSW) antonymy in the WordNet has been implemented on a set of IMDB movie reviews. The function for Negation Handling created for this paper increased the accuracy of Sentiment Classification by 4-8%. Experiments done in this paper show that improving the quality of the data gives higher results than implementing different state-of-the-art methods like n-grams and even deep learning methods like Word Embeddings, especially when used in an industry setting, where there is a need of quick deployments and changes with cost effectiveness and resource management.
{"title":"Effective Negation Handling Approach for Sentiment Classification using synsets in the WordNet lexical database","authors":"Utkarsh Lal, Priyanka Kamath","doi":"10.1109/ICEEICT53079.2022.9768641","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768641","url":null,"abstract":"Good quality of data preprocessing will have a greater impact on improving the performance of the classification models. Negation is one of the most important features in textual data. Only one negation word can change the polarity of the whole sentence. It is often seen that words like ‘not’, ‘non’ or suffixes like “n't” are removed during noise removal thereby leading to blunders in Sentiment Classification. Effective Feature extraction is the cornerstone of effective Sentiment Analysis and Negation handling is simply essential for this purpose. In this paper, an effective function for handling negations based on First Sentiment Word (FSW) antonymy in the WordNet has been implemented on a set of IMDB movie reviews. The function for Negation Handling created for this paper increased the accuracy of Sentiment Classification by 4-8%. Experiments done in this paper show that improving the quality of the data gives higher results than implementing different state-of-the-art methods like n-grams and even deep learning methods like Word Embeddings, especially when used in an industry setting, where there is a need of quick deployments and changes with cost effectiveness and resource management.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"80 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":"125827146","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/ICEEICT53079.2022.9768597
S. Salma, H. Khan, B. Madhav, V. V. Sai Varun, A. K. Priyatham, D. Sandeep
A multi-band, Multi-Input and Multi-Output (MIMO) antenna was transformed into an Ultra-Wide Band (UWB) MIMO antenna through a novel optimisation technique. In this study, the Particle swarm optimisation method was used to optimise the MIMO antennas physical parameters. Initially, the design-related aspects of the MIMO were considered as the optimisation parameters with a functional goal of achieving a UWB band. The particle swarm optimiser successfully optimised the geometrical parameters of the proposed MIMO. A MIMO prototype antenna was fabricated on the widely present, cost-effective FR-4 material to validate the optimised parameters. Anechoic chamber measurements were taken to verify the performance of the prototype MIMO antenna. In all the tested parameters, the measurement values are in a good pact with the software simulations. The requirements for a UWB are validated from the measurement results. So, the particle swarm optimiser successfully optimised the given task through achieving the UWB. The developed antenna is appropriate for many commercial and widely used frequency bands of the UWB, like 2.45 GHz of Wi-Fi, 3.5 of Wi-MAX and 5.8 GHz of ISM band.
{"title":"Particle Swarm Optimization of a Multi-band MIMO Antenna for Ultra-Wide Band characteristics","authors":"S. Salma, H. Khan, B. Madhav, V. V. Sai Varun, A. K. Priyatham, D. Sandeep","doi":"10.1109/ICEEICT53079.2022.9768597","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768597","url":null,"abstract":"A multi-band, Multi-Input and Multi-Output (MIMO) antenna was transformed into an Ultra-Wide Band (UWB) MIMO antenna through a novel optimisation technique. In this study, the Particle swarm optimisation method was used to optimise the MIMO antennas physical parameters. Initially, the design-related aspects of the MIMO were considered as the optimisation parameters with a functional goal of achieving a UWB band. The particle swarm optimiser successfully optimised the geometrical parameters of the proposed MIMO. A MIMO prototype antenna was fabricated on the widely present, cost-effective FR-4 material to validate the optimised parameters. Anechoic chamber measurements were taken to verify the performance of the prototype MIMO antenna. In all the tested parameters, the measurement values are in a good pact with the software simulations. The requirements for a UWB are validated from the measurement results. So, the particle swarm optimiser successfully optimised the given task through achieving the UWB. The developed antenna is appropriate for many commercial and widely used frequency bands of the UWB, like 2.45 GHz of Wi-Fi, 3.5 of Wi-MAX and 5.8 GHz of ISM band.","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":"126114163","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/ICEEICT53079.2022.9768447
Owen Mejia, Diego Nuñez, Jack Rázuri, Jose Cornejo, R. Palomares
Universities must have properly implemented and qualified laboratories for the comprehensive training of students. There are laboratories with laser cutters and 3D printers but very few with a robotic system that can be used by students. For this reason, the innovative research was carried out in 2021 under the supervision of the School of Mechatronics Engineering at Ricardo Palma University, it was creating a robotic system that allows soldering THT electronic components on printed circuit boards, to help students to perform this process. The robotic system will be able to adapt to different sizes of circuit boards in a specified workspace, defined by $23 text{cm}times 17 text{cm}$, and reach the farthest points of the circuit boards due to the 5 degrees of freedom that compose it. This study presents mechatronics conceptual design and kinematic analysis simulation of the structure, which is a set of a translation joint with reference to the cartesian robot movement and rotation joints that compose a manipulator. In addition, the end effector will be a soldering iron beside a pipe for the tin output which will be connected to a pair of gears controlled by a stepper motor to dispense the filler material. The robot is pretended to be applied to laboratories of Ricardo Palma University. In conclusion, favorable results were achieved; consequently, the next step of the project is to apply a camera for the solder path recognition and expand its use for SMD electronic components.
{"title":"Mechatronics Design and Kinematic Simulation of 5 DOF Serial Robot Manipulator for Soldering THT Electronic Components in Printed Circuit Boards","authors":"Owen Mejia, Diego Nuñez, Jack Rázuri, Jose Cornejo, R. Palomares","doi":"10.1109/ICEEICT53079.2022.9768447","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768447","url":null,"abstract":"Universities must have properly implemented and qualified laboratories for the comprehensive training of students. There are laboratories with laser cutters and 3D printers but very few with a robotic system that can be used by students. For this reason, the innovative research was carried out in 2021 under the supervision of the School of Mechatronics Engineering at Ricardo Palma University, it was creating a robotic system that allows soldering THT electronic components on printed circuit boards, to help students to perform this process. The robotic system will be able to adapt to different sizes of circuit boards in a specified workspace, defined by $23 text{cm}times 17 text{cm}$, and reach the farthest points of the circuit boards due to the 5 degrees of freedom that compose it. This study presents mechatronics conceptual design and kinematic analysis simulation of the structure, which is a set of a translation joint with reference to the cartesian robot movement and rotation joints that compose a manipulator. In addition, the end effector will be a soldering iron beside a pipe for the tin output which will be connected to a pair of gears controlled by a stepper motor to dispense the filler material. The robot is pretended to be applied to laboratories of Ricardo Palma University. In conclusion, favorable results were achieved; consequently, the next step of the project is to apply a camera for the solder path recognition and expand its use for SMD electronic components.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"5 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":"123484908","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/ICEEICT53079.2022.9768489
Aashish Kumar, B. Varaprasad, J. Kishore
Spacecraft telecommand system plays a critical role in receiving commands from ground station and distributing them to various subsystems. Command Execution Units (CEUs) and Command Distribution Units (CDUs) are the critical building blocks of a spacecraft telecommand system that perform the major functions of generation and distribution of discrete commands (pulse, level and serial data). The number of discrete commands required to support operation of subsystems varies from spacecraft to spacecraft and hence has impact on the design of hardware modules used in the telecommand system. In this article, a novel scheme for generation and distribution of discrete commands is presented that provides the feature of reprogramming the command outputs for supporting different types of discrete commands. This feature helps in minimizing the types of Very Large Scale Integration (VLSI) devices and number of hardware modules used in generation and distribution of discrete commands. It also supports the development of reusable hardware designs for use across different spacecraft missions and aids in reducing the turn around time for realization of mission specific telecommand hardware. At the core of the scheme is the design of a VLSI device with reconfigurable outputs that support the four basic discrete command interfaces - pulse, level, serial data and switch matrix. Suitable mitigation techniques have been incorporated in the design for overcoming single event upsets caused due to space radiation. This design has been realized as an Application Specific Integrated Circuit (ASIC) and planned to be used in the development of reconfigurable hardware module for CDU.
{"title":"Design of a Novel Discrete Command Generation and Distribution Scheme for Spacecrafts","authors":"Aashish Kumar, B. Varaprasad, J. Kishore","doi":"10.1109/ICEEICT53079.2022.9768489","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768489","url":null,"abstract":"Spacecraft telecommand system plays a critical role in receiving commands from ground station and distributing them to various subsystems. Command Execution Units (CEUs) and Command Distribution Units (CDUs) are the critical building blocks of a spacecraft telecommand system that perform the major functions of generation and distribution of discrete commands (pulse, level and serial data). The number of discrete commands required to support operation of subsystems varies from spacecraft to spacecraft and hence has impact on the design of hardware modules used in the telecommand system. In this article, a novel scheme for generation and distribution of discrete commands is presented that provides the feature of reprogramming the command outputs for supporting different types of discrete commands. This feature helps in minimizing the types of Very Large Scale Integration (VLSI) devices and number of hardware modules used in generation and distribution of discrete commands. It also supports the development of reusable hardware designs for use across different spacecraft missions and aids in reducing the turn around time for realization of mission specific telecommand hardware. At the core of the scheme is the design of a VLSI device with reconfigurable outputs that support the four basic discrete command interfaces - pulse, level, serial data and switch matrix. Suitable mitigation techniques have been incorporated in the design for overcoming single event upsets caused due to space radiation. This design has been realized as an Application Specific Integrated Circuit (ASIC) and planned to be used in the development of reconfigurable hardware module for CDU.","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":"125533041","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/ICEEICT53079.2022.9768430
T. Naidu, M. V. Narayana, G. Immadi, Sai Karthik Gamineedi, Arun Chowdary Nukavarapu, P. P. Kumar
MIMO-OFDM stands for multiple-input and multiple-output orthogonal frequency division multiplexing is utilized to support the presentation and ability of a remote correspondence framework. OFDM is an Associate in Nursing affordable and promising adjustment procedure for remote transmission due to its high phantom strength and toughness to recurrence-specific weakening channels. Nonetheless, the main disadvantage might be the high peak average to power ratio (PAPR). Partial Transmit Sequence (PTS) is one of the chief wide utilized procedures for MIMO-OFDM frameworks, this results in substantially improved PAPR reduction execution. The method nature of the archaic PTS approach, on the other hand, is massive. In a MIMO-OFDM system, a low-complexity hybrid subblock segmentation PTS topic for PAPR reduction has been developed and planned to be presented in this study. For insightful capacities, we will generally infer system quality articulations for the projected division philosophy and dissect the technical nature of the projected division approach analyzed immediately of the irregular division strategy that has the most straightforward Quantitative relationship between Peak to Average Power Ratio (PAPR) decrease execution. The re-enactment results show that the PAPR decrease execution is corrupted exclusively somewhat contrasted and irregular division.
{"title":"LOW Complexity Segmentation With a Hybrid Subblock In MIMO OFDM Systems, The PTS Scheme For PAPR Reduction","authors":"T. Naidu, M. V. Narayana, G. Immadi, Sai Karthik Gamineedi, Arun Chowdary Nukavarapu, P. P. Kumar","doi":"10.1109/ICEEICT53079.2022.9768430","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768430","url":null,"abstract":"MIMO-OFDM stands for multiple-input and multiple-output orthogonal frequency division multiplexing is utilized to support the presentation and ability of a remote correspondence framework. OFDM is an Associate in Nursing affordable and promising adjustment procedure for remote transmission due to its high phantom strength and toughness to recurrence-specific weakening channels. Nonetheless, the main disadvantage might be the high peak average to power ratio (PAPR). Partial Transmit Sequence (PTS) is one of the chief wide utilized procedures for MIMO-OFDM frameworks, this results in substantially improved PAPR reduction execution. The method nature of the archaic PTS approach, on the other hand, is massive. In a MIMO-OFDM system, a low-complexity hybrid subblock segmentation PTS topic for PAPR reduction has been developed and planned to be presented in this study. For insightful capacities, we will generally infer system quality articulations for the projected division philosophy and dissect the technical nature of the projected division approach analyzed immediately of the irregular division strategy that has the most straightforward Quantitative relationship between Peak to Average Power Ratio (PAPR) decrease execution. The re-enactment results show that the PAPR decrease execution is corrupted exclusively somewhat contrasted and irregular division.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"5 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":"122713741","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/ICEEICT53079.2022.9768544
S. Suganyadevi, K. Renukadevi, K. Balasamy, P. Jeevitha
Diabetes mellitus causes diabetic retinopathy (DR), which is the primary source of blindness worldwide. Initial identification and cure are required to postpone or avert visual degradation and loss. In this regard, various artificial-intelligence-powered approaches for detecting and classifying diabetic retinopathy on fundus retina pictures have been proposed by the scientific community. This paper will mostly examine existing early DR diagnostic tools to determine their merits and drawbacks. Although pictures from fluorescein angiography, colour fundus medical images or visual lucidity tomography angiography are used for early diagnosis. Only colour fundus medical images are included in this study. It is possible to categorise the early DR detection methods described in this paper as either classical image processing, traditional machine learning, or deep learning. The issues that must be addressed in creating such efficient, effective and resilient methods for initial detection of DR systems are discussed in length in this study, as is the substantial opportunity for future research in this field.
{"title":"Diabetic Retinopathy Detection Using Deep Learning Methods","authors":"S. Suganyadevi, K. Renukadevi, K. Balasamy, P. Jeevitha","doi":"10.1109/ICEEICT53079.2022.9768544","DOIUrl":"https://doi.org/10.1109/ICEEICT53079.2022.9768544","url":null,"abstract":"Diabetes mellitus causes diabetic retinopathy (DR), which is the primary source of blindness worldwide. Initial identification and cure are required to postpone or avert visual degradation and loss. In this regard, various artificial-intelligence-powered approaches for detecting and classifying diabetic retinopathy on fundus retina pictures have been proposed by the scientific community. This paper will mostly examine existing early DR diagnostic tools to determine their merits and drawbacks. Although pictures from fluorescein angiography, colour fundus medical images or visual lucidity tomography angiography are used for early diagnosis. Only colour fundus medical images are included in this study. It is possible to categorise the early DR detection methods described in this paper as either classical image processing, traditional machine learning, or deep learning. The issues that must be addressed in creating such efficient, effective and resilient methods for initial detection of DR systems are discussed in length in this study, as is the substantial opportunity for future research in this field.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122947509","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/ICEEICT53079.2022.9768461
V. Lekshmi, B. Varaprasad, G. Navle Sonal, T.S. Vishnu
Motors are employed in satellites for various operations. Control drives for these motors are achieved with custom designs, which are specific to the application, motors used, load to be driven and the drive schemes chosen. Instead of using a custom specific design, a common platform for drive electronics will help to circumvent development hassles and shorten the realisation time. This article discusses the requirements/applications of stepper motors in a spacecraft and a configurable architecture as a standard design for the open loop drive of stepper motors. A Field Programmable Gate Array (FPGA) based digital controller is designed to provide all the configurable features, through programmability and tele-command. To ensure a fail-safe system, safety logics are built-in to the controller and health monitoring is provided through a telemetry interface. Also, usage of space grade FPGAs and other qualified parts ensure a reliable system architecture for a radiation hardened environment. The proposed drive scheme accomplishes the need for a configurable and reliable design, best suited for motor drive electronics, for the open loop drive of stepper motors in a spacecraft.
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