WLANs are expected to be one of the foundations of next-generation wireless communication systems. They're well-known for their unique capacity to deliver high data speeds in key places (hotspots).WLANs, with IEEE 802.11 as the industry's most widely accepted standard, are a cost-effective alternative for wireless internet connection that can cover most of today's communication needs in residential and business contexts. However, the scarcity of frequency spectrum in the ISM radio bands, growing throughput demands from new bandwidth-demanding applications, and the heterogeneity of current wireless network architecture all contribute to tremendous complexity [1]. In dense WLAN deployments, such concerns become more important, resulting in several partially overlapping scenarios and coexistence issues.
{"title":"Prediction of Throughput of EXT WLANs through Machine Learning","authors":"Rajasekar Mohan, Kartikey Mishra, Abhinav Reddy Bendrapu, Burra Venkata Vasishta, Boru Andreswar Reddy","doi":"10.1109/ICONAT53423.2022.9726087","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726087","url":null,"abstract":"WLANs are expected to be one of the foundations of next-generation wireless communication systems. They're well-known for their unique capacity to deliver high data speeds in key places (hotspots).WLANs, with IEEE 802.11 as the industry's most widely accepted standard, are a cost-effective alternative for wireless internet connection that can cover most of today's communication needs in residential and business contexts. However, the scarcity of frequency spectrum in the ISM radio bands, growing throughput demands from new bandwidth-demanding applications, and the heterogeneity of current wireless network architecture all contribute to tremendous complexity [1]. In dense WLAN deployments, such concerns become more important, resulting in several partially overlapping scenarios and coexistence issues.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117190473","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725822
Shilpa B. Sarode, S. Kadwane, R. Keshri, Aniket G Pathade
1ϕ qZSI inverter is most popular for renewable energy sources like PV and fuel cell due to its unique shoot through large boost voltage capability. A fuel cell is a clean and efficient source of electricity. Fuel cell needs fuel for continuous production of electricity but it can give good performance irrespective of seasonal changes, unlike PV cell. In this paper, proton exchange membrane fuel cell (PEMFC) based 1ϕ qZSI is interfaced to a low voltage grid. PEMFC is operated with low temperature and has lower emission of carbon dioxide. This paper focuses on the performance of PEMFC based 1ϕ qZSI on low voltage grid utility in the presence of 100Hz ripple. As in single-phase circuit, 100Hz ripple is more dominant; it causes more energy loss and shortens the lifetime of renewable source like a fuel cell. Hence, this article will also discuss how much percentage of 100Hz ripple present in qZS inductor current and capacitor voltage using proper calculation. The simulation results are found using MATLAB/SIMULINK
{"title":"Fuel Cell Based DC-AC Single Phase QZSI for Low Voltage Grid Utility","authors":"Shilpa B. Sarode, S. Kadwane, R. Keshri, Aniket G Pathade","doi":"10.1109/ICONAT53423.2022.9725822","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725822","url":null,"abstract":"1ϕ qZSI inverter is most popular for renewable energy sources like PV and fuel cell due to its unique shoot through large boost voltage capability. A fuel cell is a clean and efficient source of electricity. Fuel cell needs fuel for continuous production of electricity but it can give good performance irrespective of seasonal changes, unlike PV cell. In this paper, proton exchange membrane fuel cell (PEMFC) based 1ϕ qZSI is interfaced to a low voltage grid. PEMFC is operated with low temperature and has lower emission of carbon dioxide. This paper focuses on the performance of PEMFC based 1ϕ qZSI on low voltage grid utility in the presence of 100Hz ripple. As in single-phase circuit, 100Hz ripple is more dominant; it causes more energy loss and shortens the lifetime of renewable source like a fuel cell. Hence, this article will also discuss how much percentage of 100Hz ripple present in qZS inductor current and capacitor voltage using proper calculation. The simulation results are found using MATLAB/SIMULINK","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127102787","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725907
Sivapuram Sai Sanjith, S. Srivastava, Ashish Kumar, B. Saini
As we know people in today's world face a lot of health issues it becomes essential to prevent these diseases before they occur. In this paper we dealt with one of the harmful diseases known as pneumonia. A comparison between the traditional methods and data mining methods for detecting pneumonia was performed. From various implementations we found that algorithms based on neural networks gave the best accuracies. The Learning algorithms were to perform the best in all the data mining techniques. These algorithms also include some pre-trained algorithms on X-ray images(chest). Transfer knowledge methodology of the pre-trained models gave the highest accuracy of 98% and a two-network architecture which is a combination of AlexNet and GoogLeNet gave an accuracy of 99%.
{"title":"Pneumonia Detection Using Data Mining Techniques","authors":"Sivapuram Sai Sanjith, S. Srivastava, Ashish Kumar, B. Saini","doi":"10.1109/ICONAT53423.2022.9725907","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725907","url":null,"abstract":"As we know people in today's world face a lot of health issues it becomes essential to prevent these diseases before they occur. In this paper we dealt with one of the harmful diseases known as pneumonia. A comparison between the traditional methods and data mining methods for detecting pneumonia was performed. From various implementations we found that algorithms based on neural networks gave the best accuracies. The Learning algorithms were to perform the best in all the data mining techniques. These algorithms also include some pre-trained algorithms on X-ray images(chest). Transfer knowledge methodology of the pre-trained models gave the highest accuracy of 98% and a two-network architecture which is a combination of AlexNet and GoogLeNet gave an accuracy of 99%.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125111207","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725981
Saloni Koshe, G. I. Mary
This paper sums up the approach of designing and fabrication of the flight controller for unmanned aerial vehicles. There are many existing flight controller designs which use a wide range of components. However, in order to understand the functioning of the flight controller in detail and to have a practical approach towards the same, we have designed a flight controller and have realized it into a 3D CAD model. This paper covers the selection of components, approach taken to initiate design process, theoretical analysis of performance of the components and visualization of 3D CAD model of the flight controller.
{"title":"Design and Fabrication of a Flight Controller for Unmanned Aerial Vehicles","authors":"Saloni Koshe, G. I. Mary","doi":"10.1109/ICONAT53423.2022.9725981","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725981","url":null,"abstract":"This paper sums up the approach of designing and fabrication of the flight controller for unmanned aerial vehicles. There are many existing flight controller designs which use a wide range of components. However, in order to understand the functioning of the flight controller in detail and to have a practical approach towards the same, we have designed a flight controller and have realized it into a 3D CAD model. This paper covers the selection of components, approach taken to initiate design process, theoretical analysis of performance of the components and visualization of 3D CAD model of the flight controller.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123772890","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9726121
M. S, Samyama Gunjal G H, Samarth C Swamy, A. Giridharan
Predictions of vehicle ownership and their influencing factors play an important role in transportation policy making. In the era of urbanization and globalization, vehicle ownership patterns have become a more relevant issue in developing countries attempting to achieve sustainable transportation development goals. Machine learning techniques facilitate tremendously in predicting the vehicle ownership patterns, required to achieve the above said goal. In the proposed work, the machine learning models such as decision tree, random forest and multinomial logistic regression models are applied over household datasets, to predict the household factors influencing vehicle ownership. According to the ML model, influencing factors on Household Vehicle Ownership (HVO) prediction are number of persons having DL in a household, number of persons drive in a household, number of persons using ride source service or public transport in a household. Analysis of datasets showed that, total income of a household, number of persons in household and distance travelled each day are positively associated with vehicle ownership of the household. The predictions of this study would be useful mainly for local governments, transportation agencies, planners and policy-makers.
{"title":"Household Vehicle Ownership Prediction Using Machine Learning Approach","authors":"M. S, Samyama Gunjal G H, Samarth C Swamy, A. Giridharan","doi":"10.1109/ICONAT53423.2022.9726121","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726121","url":null,"abstract":"Predictions of vehicle ownership and their influencing factors play an important role in transportation policy making. In the era of urbanization and globalization, vehicle ownership patterns have become a more relevant issue in developing countries attempting to achieve sustainable transportation development goals. Machine learning techniques facilitate tremendously in predicting the vehicle ownership patterns, required to achieve the above said goal. In the proposed work, the machine learning models such as decision tree, random forest and multinomial logistic regression models are applied over household datasets, to predict the household factors influencing vehicle ownership. According to the ML model, influencing factors on Household Vehicle Ownership (HVO) prediction are number of persons having DL in a household, number of persons drive in a household, number of persons using ride source service or public transport in a household. Analysis of datasets showed that, total income of a household, number of persons in household and distance travelled each day are positively associated with vehicle ownership of the household. The predictions of this study would be useful mainly for local governments, transportation agencies, planners and policy-makers.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"37 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125687632","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725965
Harsh Verdhan Singh Dhawan, Archana Tamrakar
In due course of time with the advancement and awareness, both towards technology as well as environment, we find ourselves trying everyday to get to more and more sustainable ways and ecofriendly methods to live our lives. A possible solution is standalone or off-grid microgrid. Standalone micro-grid reduces the load on grid. In this way, we can reduce energy generation by conventional ways which will eventually decrease carbon emission to the environment. In this paper we have modelled a standalone microgrid for Rewa Engineering College and will discuss the advantages and disadvantages of standalone microgrid based on the model.
{"title":"Standalone Microgrid: A Sustainable Option for Energy Handling","authors":"Harsh Verdhan Singh Dhawan, Archana Tamrakar","doi":"10.1109/ICONAT53423.2022.9725965","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725965","url":null,"abstract":"In due course of time with the advancement and awareness, both towards technology as well as environment, we find ourselves trying everyday to get to more and more sustainable ways and ecofriendly methods to live our lives. A possible solution is standalone or off-grid microgrid. Standalone micro-grid reduces the load on grid. In this way, we can reduce energy generation by conventional ways which will eventually decrease carbon emission to the environment. In this paper we have modelled a standalone microgrid for Rewa Engineering College and will discuss the advantages and disadvantages of standalone microgrid based on the model.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117100494","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9726031
Ashutosh Tiwari, Rishabh Bajpai, Rohan Khatavkar, Manish Gupta, B. Garg, D. Joshi
In a bipedal human locomotion, step length modulation is critical in determining the overall gait performance such as gait speed, anteroposterior (AP) ground reaction force, obstacle crossing, and turning. Training intervention based on the step length change feedback requires gait laboratory to measure the step length and hence training is restricted to the indoor settings. In this paper, we propose a novel center of pressure (CoP) based vibrotactile feedback step length training system (SLTS) to alter step length. Anterior/posterior location of the CoP at heel strike compared to the baseline was mapped to the anteriorly/posteriorly located tactors on the waist band. Four able-bodied participants were recruited for the experiment. Each participant was asked to walk on the walkway inside gait laboratory. Experiment was conducted in two different walking sessions i.e., baseline and the feedback session. During the baseline session, participants were asked to walk normally without any feedback. During the feedback session, participants walked while shifting the CoP anteriorly/posteriorly at heel strike with the feedback clue. With the feedback, posteriorly shifted CoP significantly enhances the step length (0.70±0.023m) whereas anteriorly shifted CoP significantly reduced the step length (0.48±0.029m) compared to the baseline (0.64±0.013m). The overall results reflect the potential of the SLTS in altering the step length with shift in the CoP at heel strike. In the future, SLTS can be miniaturized and integrated in the individual's activity of daily living as the step length trailing device.
{"title":"Exploring the Center of Pressure Shift Feedback at Heel Strike to Modulate the Step Length","authors":"Ashutosh Tiwari, Rishabh Bajpai, Rohan Khatavkar, Manish Gupta, B. Garg, D. Joshi","doi":"10.1109/ICONAT53423.2022.9726031","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726031","url":null,"abstract":"In a bipedal human locomotion, step length modulation is critical in determining the overall gait performance such as gait speed, anteroposterior (AP) ground reaction force, obstacle crossing, and turning. Training intervention based on the step length change feedback requires gait laboratory to measure the step length and hence training is restricted to the indoor settings. In this paper, we propose a novel center of pressure (CoP) based vibrotactile feedback step length training system (SLTS) to alter step length. Anterior/posterior location of the CoP at heel strike compared to the baseline was mapped to the anteriorly/posteriorly located tactors on the waist band. Four able-bodied participants were recruited for the experiment. Each participant was asked to walk on the walkway inside gait laboratory. Experiment was conducted in two different walking sessions i.e., baseline and the feedback session. During the baseline session, participants were asked to walk normally without any feedback. During the feedback session, participants walked while shifting the CoP anteriorly/posteriorly at heel strike with the feedback clue. With the feedback, posteriorly shifted CoP significantly enhances the step length (0.70±0.023m) whereas anteriorly shifted CoP significantly reduced the step length (0.48±0.029m) compared to the baseline (0.64±0.013m). The overall results reflect the potential of the SLTS in altering the step length with shift in the CoP at heel strike. In the future, SLTS can be miniaturized and integrated in the individual's activity of daily living as the step length trailing device.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128512473","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9726034
Seedarala Likhith, Setlem Bhargavi, P. Manitha, S. Lekshmi
In this paper, charging and discharging of a battery for an Electric vehicle application is done with the help of bidirectional converter with suitable charge controller. Charging of the battery can be done with a full bridge rectifier and DC-DC converter enabling it to operate in G2V mode. In discharging mode, the battery is allowed to discharge through the load for home applications and thereby operating it at V2H mode. This is incorporated, when there is no supply from the grid. The full-bridge rectifier is used for converting AC voltage to DC voltage. Buck converter has a similar application to a transformer where a transformer is used for AC and converter is used for DC. The charging and discharging of the battery, is done by a charge controller which monitors the SOC of the battery and based on that the necessary control action will be taken. This entire system is simulated using MATLAB software and the results are analysed.
{"title":"DC-DC Converter for EV Charger with Controlling Unit","authors":"Seedarala Likhith, Setlem Bhargavi, P. Manitha, S. Lekshmi","doi":"10.1109/ICONAT53423.2022.9726034","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726034","url":null,"abstract":"In this paper, charging and discharging of a battery for an Electric vehicle application is done with the help of bidirectional converter with suitable charge controller. Charging of the battery can be done with a full bridge rectifier and DC-DC converter enabling it to operate in G2V mode. In discharging mode, the battery is allowed to discharge through the load for home applications and thereby operating it at V2H mode. This is incorporated, when there is no supply from the grid. The full-bridge rectifier is used for converting AC voltage to DC voltage. Buck converter has a similar application to a transformer where a transformer is used for AC and converter is used for DC. The charging and discharging of the battery, is done by a charge controller which monitors the SOC of the battery and based on that the necessary control action will be taken. This entire system is simulated using MATLAB software and the results are analysed.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128683448","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725919
Arpit Tiwari, G. Soni, D. Yadav, Lokesh Sharma
In the innovation of wireless communications has probably gotten the best commitment to humanity. Wireless communications make it simple to send data from a disseverment without links or wires. The modern wireless communication (4G/5G) framework required lower power consumption, high speed data transfer rate, and bandwidth efficiency. The MIMO framework is recognized as a rival to satisfy such challenges. At the transmitter and receiver terminal, a MIMO framework uses multiple antennas to improve wireless communication system performance. This paper present a comparative analysis of bit error rate in different PDSCH modulation type (16-QAM, 64- QAM, and QPSK) in different fading channel models (EPA 0HZ, EPA 5Hz, EVA 5Hz, EVA 70Hz, Flat Static MIMO) for MIMO wireless communication. This work evaluates the performance of the $2times 2$ and $4times 4$ MIMO systems in different PDSCH modulation types for wireless communication using 20MHz channel bandwidth to find out which type of modulation scheme works better.
{"title":"Performance Evaluation of MIMO System in Different PDSCH Modulation Type for Wireless Communication Using 20MHz Channel Bandwidth","authors":"Arpit Tiwari, G. Soni, D. Yadav, Lokesh Sharma","doi":"10.1109/ICONAT53423.2022.9725919","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725919","url":null,"abstract":"In the innovation of wireless communications has probably gotten the best commitment to humanity. Wireless communications make it simple to send data from a disseverment without links or wires. The modern wireless communication (4G/5G) framework required lower power consumption, high speed data transfer rate, and bandwidth efficiency. The MIMO framework is recognized as a rival to satisfy such challenges. At the transmitter and receiver terminal, a MIMO framework uses multiple antennas to improve wireless communication system performance. This paper present a comparative analysis of bit error rate in different PDSCH modulation type (16-QAM, 64- QAM, and QPSK) in different fading channel models (EPA 0HZ, EPA 5Hz, EVA 5Hz, EVA 70Hz, Flat Static MIMO) for MIMO wireless communication. This work evaluates the performance of the $2times 2$ and $4times 4$ MIMO systems in different PDSCH modulation types for wireless communication using 20MHz channel bandwidth to find out which type of modulation scheme works better.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"1 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126796799","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 : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9726045
Dinika Birari, Dilendra Hiran, Dr. Vaibhav Eknath Narawade
The various analysis of Image retrieval makes the Query by sketches as an important branch of image retrieval. It also acts as supplementary to Content Based Image Retrieval. Whereas Sketch based image retrieval plays a vital role in critical applications like military and crime systems, as accuracy becomes the major factor. Here loss can be any data or information hidden in images. The data hiding technique uses reversibility to extract the data, as well as the real images, which can be extracted from sketches. The message embedding and extracting process uses all 3 color channels and a difference histogram. The proposed work of SBIR adopts different processes like pre-processing for extraction of strong edges, feature extraction by descriptor, and constraint's application for the selection of shaping edges. In the proposed work, the framework will significantly improve the SBIDR performance by exploring the method: Image Retrieval with Data Retrieval simultaneously.
{"title":"Image Retrieval through sketches based on Descriptor with Data Retrieval using Reversibility Method","authors":"Dinika Birari, Dilendra Hiran, Dr. Vaibhav Eknath Narawade","doi":"10.1109/ICONAT53423.2022.9726045","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726045","url":null,"abstract":"The various analysis of Image retrieval makes the Query by sketches as an important branch of image retrieval. It also acts as supplementary to Content Based Image Retrieval. Whereas Sketch based image retrieval plays a vital role in critical applications like military and crime systems, as accuracy becomes the major factor. Here loss can be any data or information hidden in images. The data hiding technique uses reversibility to extract the data, as well as the real images, which can be extracted from sketches. The message embedding and extracting process uses all 3 color channels and a difference histogram. The proposed work of SBIR adopts different processes like pre-processing for extraction of strong edges, feature extraction by descriptor, and constraint's application for the selection of shaping edges. In the proposed work, the framework will significantly improve the SBIDR performance by exploring the method: Image Retrieval with Data Retrieval simultaneously.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129036384","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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