Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776932
M. Madaan, Aniket Kumar, Shubham Kumar, Aniket Saha, K. Gupta
For generations, the handwritten text has been a key medium of communication and a foundation of our culture and education, and it is frequently considered an art form. It has been discovered to aid in tasks such as notetaking and reading whilst writing, as well as improving short and long-term memory. Although there are fewer applications for handwriting synthesizing, this challenge can be generalized and functionally applied to other, more practical challenges. Handwriting synthesis is a difficult task to accomplish. This paper presents a systematic overview of how various algorithms particularly Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTMs) recurrent neural networks, Reinforcement Learning (RL), and Generative Adversarial Networks (GANs) have been used to generate handwriting for the given text.
{"title":"Handwriting Generation and Synthesis: A Review","authors":"M. Madaan, Aniket Kumar, Shubham Kumar, Aniket Saha, K. Gupta","doi":"10.1109/ICPC2T53885.2022.9776932","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776932","url":null,"abstract":"For generations, the handwritten text has been a key medium of communication and a foundation of our culture and education, and it is frequently considered an art form. It has been discovered to aid in tasks such as notetaking and reading whilst writing, as well as improving short and long-term memory. Although there are fewer applications for handwriting synthesizing, this challenge can be generalized and functionally applied to other, more practical challenges. Handwriting synthesis is a difficult task to accomplish. This paper presents a systematic overview of how various algorithms particularly Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTMs) recurrent neural networks, Reinforcement Learning (RL), and Generative Adversarial Networks (GANs) have been used to generate handwriting for the given text.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128314915","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 : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776978
Amrita Singh, Sulata Bhandari, J. Kumar, Vikram Singh
Recently, Multilevel Inverters (MLIs) are developed for integrating the Renewable Energy Sources (RES) to the utility grid. Due to the dominance of MLIs over conventional inverters with respect to high power capability, less harmonics, greater levels in the output voltage and efficiency, research has been focused on development of new MLI topology. This paper presents the new generalized topology for MLI structure named as Reduced Switch Single Source (RSSS) MLI. Proposed RSSS MLI requires less number of switches and voltage source compared with some recently developed MLI topologies. For the elimination of harmonic contents from output voltage and current, Selective Harmonic Elimination (SHE) with Newton Raphson (NR) technique is used. This elimination of harmonics is done on seven and eleven level RSSS MLI and results have been discussed. The developed RSSS MLI is verified and validated through several MATLAB simulation.
{"title":"Generalized Topology with Reduced Components for Multilevel Inverter Using Selective Harmonic Elimination Technique","authors":"Amrita Singh, Sulata Bhandari, J. Kumar, Vikram Singh","doi":"10.1109/ICPC2T53885.2022.9776978","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776978","url":null,"abstract":"Recently, Multilevel Inverters (MLIs) are developed for integrating the Renewable Energy Sources (RES) to the utility grid. Due to the dominance of MLIs over conventional inverters with respect to high power capability, less harmonics, greater levels in the output voltage and efficiency, research has been focused on development of new MLI topology. This paper presents the new generalized topology for MLI structure named as Reduced Switch Single Source (RSSS) MLI. Proposed RSSS MLI requires less number of switches and voltage source compared with some recently developed MLI topologies. For the elimination of harmonic contents from output voltage and current, Selective Harmonic Elimination (SHE) with Newton Raphson (NR) technique is used. This elimination of harmonics is done on seven and eleven level RSSS MLI and results have been discussed. The developed RSSS MLI is verified and validated through several MATLAB simulation.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129154128","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 : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776946
Samita Rani Pani, Rajat Kanti Samal
Despite the fact that the power grid is typically regarded as a relatively stable system, outages and electricity shortages are common occurrences. Grid security is mainly dependent on accurate vulnerability assessment. The vulnerability can be assessed in terms of topology-based metrics and flow-based metrics. In this work, power flow analysis is used to calculate the metrics under single line contingency (N-1) conditions. The effect of load uncertainty on system vulnerability is checked. The IEEE 30 bus power network has been used for the case study. It has been found that the variation in load demand affects the system vulnerability.
{"title":"Vulnerability Assessment of Power System Under N-1 Contingency Conditions","authors":"Samita Rani Pani, Rajat Kanti Samal","doi":"10.1109/ICPC2T53885.2022.9776946","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776946","url":null,"abstract":"Despite the fact that the power grid is typically regarded as a relatively stable system, outages and electricity shortages are common occurrences. Grid security is mainly dependent on accurate vulnerability assessment. The vulnerability can be assessed in terms of topology-based metrics and flow-based metrics. In this work, power flow analysis is used to calculate the metrics under single line contingency (N-1) conditions. The effect of load uncertainty on system vulnerability is checked. The IEEE 30 bus power network has been used for the case study. It has been found that the variation in load demand affects the system vulnerability.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124665484","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 : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776892
H. Goyal, S. Tripathi
A Wireless Sensor Network (WSN) is a group of a fixed number of sensor nodes that are used for monitoring and transmitting data for a particular target to a base station. One major caveat of WSN is its limited time availability due to the finite energy capacity of the sensor nodes deployed on any flat surface. This can lead to network unavailability in practical scenarios where the sensor nodes cannot be easily recharged or replaced. Hence, researchers come up with Energy Harvesting Sensor Networks that use Environmental energy to recharge. An algorithm for switching and scheduling written for a typical WSN is not feasible because of the new charging factors. This increases the demand for a scheduling algorithm that considers various energy parameters like energy consumption and recharge rates. Therefore, we propose a novel algorithm that provides the set of active nodes for all target points in the network and therefore improves the network lifetime.
{"title":"Efficient Scheduling for Target Coverage in Energy Harvesting Wireless Sensor Network","authors":"H. Goyal, S. Tripathi","doi":"10.1109/ICPC2T53885.2022.9776892","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776892","url":null,"abstract":"A Wireless Sensor Network (WSN) is a group of a fixed number of sensor nodes that are used for monitoring and transmitting data for a particular target to a base station. One major caveat of WSN is its limited time availability due to the finite energy capacity of the sensor nodes deployed on any flat surface. This can lead to network unavailability in practical scenarios where the sensor nodes cannot be easily recharged or replaced. Hence, researchers come up with Energy Harvesting Sensor Networks that use Environmental energy to recharge. An algorithm for switching and scheduling written for a typical WSN is not feasible because of the new charging factors. This increases the demand for a scheduling algorithm that considers various energy parameters like energy consumption and recharge rates. Therefore, we propose a novel algorithm that provides the set of active nodes for all target points in the network and therefore improves the network lifetime.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129447548","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 : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9777047
K. S. Kumar, S. Raghavendran, C. Das, A. Kirubakaran
This paper presents a packed U-Cell based symmetrical multilevel inverters for grid-connected Photovoltaic (PV) systems. The proposed MLI can raise the number of levels in the output voltage with reduced power electronic devices compared with the popular MLI structures. The level-shifted sinusoidal pulse width modulation technique is employed to generate the triggering pulses. In addition, the proposed MLI has the ability to operate during the non-unity power factor conditions without any limitations. Furthermore, the proposed topologies are tested for 9-Level generation under different loading conditions. Moreover, a comparison with the modern MLI topologies is presented in terms of device count to show the merits of the proposed MLI. MATLAB/Simulink toolbox is used to validate the performance of the proposed MLI under different loading conditions.
{"title":"Novel Single-Phase Packed U-Cell based Symmetrical Multilevel Inverters","authors":"K. S. Kumar, S. Raghavendran, C. Das, A. Kirubakaran","doi":"10.1109/ICPC2T53885.2022.9777047","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777047","url":null,"abstract":"This paper presents a packed U-Cell based symmetrical multilevel inverters for grid-connected Photovoltaic (PV) systems. The proposed MLI can raise the number of levels in the output voltage with reduced power electronic devices compared with the popular MLI structures. The level-shifted sinusoidal pulse width modulation technique is employed to generate the triggering pulses. In addition, the proposed MLI has the ability to operate during the non-unity power factor conditions without any limitations. Furthermore, the proposed topologies are tested for 9-Level generation under different loading conditions. Moreover, a comparison with the modern MLI topologies is presented in terms of device count to show the merits of the proposed MLI. MATLAB/Simulink toolbox is used to validate the performance of the proposed MLI under different loading conditions.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130572420","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 : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776692
Varun Pramod Bhartiya, R. Janghel, Y. Rathore
In the realm of agricultural data, automated detection and diagnosis of rice leaf diseases is greatly sought. Machine learning plays an important role here and can handle these difficulties in leaf disease identification rather well. We present a novel rice disease detection approach based on machine learning techniques in this paper. Here we have considered various rice leaf diseases and used different machine learning techniques for the classification of these diseases. In this study we first extract the features of rice leaf disease images. Then we apply various machine learning techniques in order to classify the images and found that an accuracy of 81.8% was achieved using Quadratic SVM classifier. Shape features such as area, roundness, area to lesion ratio, etc; were also used to differentiate between different types of rice diseases. The results obtained were good and met the required expectations.
{"title":"Rice Leaf Disease Prediction Using Machine Learning","authors":"Varun Pramod Bhartiya, R. Janghel, Y. Rathore","doi":"10.1109/ICPC2T53885.2022.9776692","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776692","url":null,"abstract":"In the realm of agricultural data, automated detection and diagnosis of rice leaf diseases is greatly sought. Machine learning plays an important role here and can handle these difficulties in leaf disease identification rather well. We present a novel rice disease detection approach based on machine learning techniques in this paper. Here we have considered various rice leaf diseases and used different machine learning techniques for the classification of these diseases. In this study we first extract the features of rice leaf disease images. Then we apply various machine learning techniques in order to classify the images and found that an accuracy of 81.8% was achieved using Quadratic SVM classifier. Shape features such as area, roundness, area to lesion ratio, etc; were also used to differentiate between different types of rice diseases. The results obtained were good and met the required expectations.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124496577","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 : 2022-03-01DOI: 10.1109/icpc2t53885.2022.9777033
{"title":"Keynote speakers and Chief Patterns","authors":"","doi":"10.1109/icpc2t53885.2022.9777033","DOIUrl":"https://doi.org/10.1109/icpc2t53885.2022.9777033","url":null,"abstract":"","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126464113","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 : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9777003
Yugal Kishor, R. Patel
The global power crisis needs great attention and quick adoption of an efficient green energy system. Considering the advantages of solar photovoltaic (SPV), it could be the better choice among other green energy solutions. SPV needs a high gain interfacing converter to stabilize output caused due to weather intermittency. The conventional methods are failed to provide high gain at a lower duty ratio. Considering the conduction losses and voltage stresses in the semiconductor devices, high step-up DC-DC converters are widely adopted in many power conversion applications. The high step-up converters are essentially required for SPV applications, where output is intermittent in nature. The new voltage boost techniques are discussed in the literature are reviewed thoroughly. Comprehensive comparison among discussed topologies has been covered. In addition, key merits and limitations of these boosting techniques are also highlighted. This paper highlights the available and ongoing trends in non-isolated high step-up DC-DC converter topologies, which may give a new direction to researchers. The analysis and performance are validated through digital simulation in MATLAB/ Simulink environment.
{"title":"An Overview of Recently Introduced Non-isolated High Step-up DC-DC Converters","authors":"Yugal Kishor, R. Patel","doi":"10.1109/ICPC2T53885.2022.9777003","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777003","url":null,"abstract":"The global power crisis needs great attention and quick adoption of an efficient green energy system. Considering the advantages of solar photovoltaic (SPV), it could be the better choice among other green energy solutions. SPV needs a high gain interfacing converter to stabilize output caused due to weather intermittency. The conventional methods are failed to provide high gain at a lower duty ratio. Considering the conduction losses and voltage stresses in the semiconductor devices, high step-up DC-DC converters are widely adopted in many power conversion applications. The high step-up converters are essentially required for SPV applications, where output is intermittent in nature. The new voltage boost techniques are discussed in the literature are reviewed thoroughly. Comprehensive comparison among discussed topologies has been covered. In addition, key merits and limitations of these boosting techniques are also highlighted. This paper highlights the available and ongoing trends in non-isolated high step-up DC-DC converter topologies, which may give a new direction to researchers. The analysis and performance are validated through digital simulation in MATLAB/ Simulink environment.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"50 Pt 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126232790","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 : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776717
Aakriti Pandey, S. Pattnaik
In recent times, the significance of high-boost converters has increased considerably. The DC nano-grids is one of the major states of art concepts that possess inherently higher effectiveness in its reliability, efficiency, power quality and power density [1]. Green energy sources like solar PV cells, fuel cells, etc have lower terminal output voltage which needs to be uplifted to higher values for its transmission and connection to DC nano grids or local loads. Therefore, high-boost power converters find an indispensable role in renewable energy utilization.
{"title":"High Gain Converter with Split Duty Ratio and Wide range of Gain for Renewable Energy Integration","authors":"Aakriti Pandey, S. Pattnaik","doi":"10.1109/ICPC2T53885.2022.9776717","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776717","url":null,"abstract":"In recent times, the significance of high-boost converters has increased considerably. The DC nano-grids is one of the major states of art concepts that possess inherently higher effectiveness in its reliability, efficiency, power quality and power density [1]. Green energy sources like solar PV cells, fuel cells, etc have lower terminal output voltage which needs to be uplifted to higher values for its transmission and connection to DC nano grids or local loads. Therefore, high-boost power converters find an indispensable role in renewable energy utilization.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128000420","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 : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776778
M. K. Shukla, J. Jain
Fractional order discrete chaotic systems (FODCS) are one of the recent contributions in the field of nonlinear dynamics and control. Control and synchronization of these systems are one of the most researched problems. The paper presents an active control-based controller design technique for the control of a particular class of FODCS. The proposed controller is further employed to address the synchronization between two systems belonging to the similar class. The controllers derived are employed on an example system which is a 3-D Henon map. The simulation results validate the efficacy of the technique proposed here.
{"title":"Control of Discrete Chaotic Systems with Fractional Order Difference Equations","authors":"M. K. Shukla, J. Jain","doi":"10.1109/ICPC2T53885.2022.9776778","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776778","url":null,"abstract":"Fractional order discrete chaotic systems (FODCS) are one of the recent contributions in the field of nonlinear dynamics and control. Control and synchronization of these systems are one of the most researched problems. The paper presents an active control-based controller design technique for the control of a particular class of FODCS. The proposed controller is further employed to address the synchronization between two systems belonging to the similar class. The controllers derived are employed on an example system which is a 3-D Henon map. The simulation results validate the efficacy of the technique proposed here.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133947104","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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