Pub Date : 2021-12-01DOI: 10.1109/ComPE53109.2021.9752270
Amin Tuni Gure, D. P. Sharma, J. K. Verma
Due to today’s information overload, finding and retrieving desired data or information has become difficult. Due to this new phenomenon, users will have a harder time locating and retrieving relevant information. It is now the norm rather than the exception to have data and information in multiple languages. It is critical in Ethiopia, where huge amounts of Afaan Oromo data are produced daily. With massive document collections come archival and search issues, putting these data and information characteristics to the test. Afaan Oromo users could easily search for and retrieve data that was relevant to their needs and interests using a hybrid information retrieval system developed for Afaan Oromo. Performance of information retrieval systems (IRS) has been under-researched in the Afaan Oromo linguistic domain. The efficiency of these systems has been found to be significantly lacking. For these issues, the AOIR system’s performance was improved by integrating various IR system approaches. The prototype includes the current indexing and searching subsystems. On-line news articles (Oromia Broadcasting Network, VOA Afaan Oromo), websites, books, and the Afaan Oromo Bible were used to gather 1000 Afaan Oromo text documents for the experiment. To identify terms and vocabulary that contained content, the text was subjected to text operations such as tokenization, normalization, stop-word removal and stemming and calculated using tf-idf term weighting scheme. After the experimental analysis in Python 3.7, precision, recall, and F-measure were all greater than 96.6 percent. The polysemy issue continued to affect the system’s overall performance. The paper also advocates for more work on system performance optimization to advance the AOIR.
{"title":"Intelligence Information Retrieval System Modeling for Afaan Oromo","authors":"Amin Tuni Gure, D. P. Sharma, J. K. Verma","doi":"10.1109/ComPE53109.2021.9752270","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9752270","url":null,"abstract":"Due to today’s information overload, finding and retrieving desired data or information has become difficult. Due to this new phenomenon, users will have a harder time locating and retrieving relevant information. It is now the norm rather than the exception to have data and information in multiple languages. It is critical in Ethiopia, where huge amounts of Afaan Oromo data are produced daily. With massive document collections come archival and search issues, putting these data and information characteristics to the test. Afaan Oromo users could easily search for and retrieve data that was relevant to their needs and interests using a hybrid information retrieval system developed for Afaan Oromo. Performance of information retrieval systems (IRS) has been under-researched in the Afaan Oromo linguistic domain. The efficiency of these systems has been found to be significantly lacking. For these issues, the AOIR system’s performance was improved by integrating various IR system approaches. The prototype includes the current indexing and searching subsystems. On-line news articles (Oromia Broadcasting Network, VOA Afaan Oromo), websites, books, and the Afaan Oromo Bible were used to gather 1000 Afaan Oromo text documents for the experiment. To identify terms and vocabulary that contained content, the text was subjected to text operations such as tokenization, normalization, stop-word removal and stemming and calculated using tf-idf term weighting scheme. After the experimental analysis in Python 3.7, precision, recall, and F-measure were all greater than 96.6 percent. The polysemy issue continued to affect the system’s overall performance. The paper also advocates for more work on system performance optimization to advance the AOIR.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130907346","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 : 2021-12-01DOI: 10.1109/ComPE53109.2021.9751901
Umang Garg, Deepak Kumar Chohan, D. Dobhal
The Solar panels are depending on the various parameters like air pollution and environment. The air pollution and bad weather conditions are generated very critical condition for the generation of power from solar panels. The prediction of solar panel’s power in advance improves the overall functionality of the solar panels and generated the best results for end-users. In this paper, a prediction of solar power using machine learning algorithms has been done and analysis the impact of air pollution and bad weather on it. A machine learning model is able to generate the best results with the extraction of features like bad environment, air and weather pollutions. The experimental results show the efficient results on the dataset collected from the open-source system.
{"title":"The Prediction of Power in Solar Panel using Machine Learning","authors":"Umang Garg, Deepak Kumar Chohan, D. Dobhal","doi":"10.1109/ComPE53109.2021.9751901","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9751901","url":null,"abstract":"The Solar panels are depending on the various parameters like air pollution and environment. The air pollution and bad weather conditions are generated very critical condition for the generation of power from solar panels. The prediction of solar panel’s power in advance improves the overall functionality of the solar panels and generated the best results for end-users. In this paper, a prediction of solar power using machine learning algorithms has been done and analysis the impact of air pollution and bad weather on it. A machine learning model is able to generate the best results with the extraction of features like bad environment, air and weather pollutions. The experimental results show the efficient results on the dataset collected from the open-source system.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133345598","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}
Neural machine translation is a state-of-the-art approach for the automatic translation between natural languages. The multimodal concept utilizes textual and image features for improvement in low-resource neural machine translation. There is a lack of a standard multimodal corpus for the English–Assamese low-resource pair. We present a multimodal corpus which is suitable for multimodal translation task of English–Assamese pair. The English–Assamese multimodal corpus is used to implement multimodal neural machine translation models for English-to-Assamese translation and vice-versa. The comparative results of automatic evaluation metrics between text-only and multimodal neural machine translation show multimodal neural machine translation outperforms text-only neural machine translation.
{"title":"Multimodal Neural Machine Translation for English–Assamese Pair","authors":"Sahinur Rahman Laskar, Bishwaraj Paul, Siddharth Paudwal, Pranjit Gautam, Nirmita Biswas, Partha Pakray","doi":"10.1109/ComPE53109.2021.9752181","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9752181","url":null,"abstract":"Neural machine translation is a state-of-the-art approach for the automatic translation between natural languages. The multimodal concept utilizes textual and image features for improvement in low-resource neural machine translation. There is a lack of a standard multimodal corpus for the English–Assamese low-resource pair. We present a multimodal corpus which is suitable for multimodal translation task of English–Assamese pair. The English–Assamese multimodal corpus is used to implement multimodal neural machine translation models for English-to-Assamese translation and vice-versa. The comparative results of automatic evaluation metrics between text-only and multimodal neural machine translation show multimodal neural machine translation outperforms text-only neural machine translation.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133138530","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 : 2021-12-01DOI: 10.1109/ComPE53109.2021.9751839
Mohammad Zeyad, S. Ahmed, Eftakhar Hossain, Md Sadik Tasrif Anubhove, Sayeed Hasan, Dewan Mahnaaz Mahmud, Sanjid Islam
The fundamental aspiration of this work is to set up a poultry farm system structure that will meet all kinds of electricity needs of the poultry farm from the solar PV power plant. To accomplish the task, a new term called Poultry Demand Side Management (PoDSM) has been introduced which discusses Poultry Agriculture demand and Renewable Energy (Solar) demand in Bangladesh. Moreover, for a better understanding and outcomes, the research work has been done under a poultry farm in Charsita village, Lakshmipur, Bangladesh. In addition, energy planning and management systems, which satisfy electricity demand and the estimation of the demand for the entire poultry farm, were addressed in the letter part of this article. However, through the analysis of energy modeling, energy planning, and management systems which justify the term Poultry Demand Side Management (PoDSM). Moreover, an energy planning and management system has been discussed which meets the demand for electricity with required loads demand calculation for the entire poultry farm. Nevertheless, after finalizing the design of the Solar PV Power Plant, 2.8 kW of power will be generated to meet the electricity demand of poultry farm, which will reduce the energy demand of the main grid for poultry farms. However, this work aims to improve the generation of Renewable Energy using Solar PV.
{"title":"Optimization of a Solar PV Power Plant with Poultry Demand Side Management (PoDSM) for Poultry Farm","authors":"Mohammad Zeyad, S. Ahmed, Eftakhar Hossain, Md Sadik Tasrif Anubhove, Sayeed Hasan, Dewan Mahnaaz Mahmud, Sanjid Islam","doi":"10.1109/ComPE53109.2021.9751839","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9751839","url":null,"abstract":"The fundamental aspiration of this work is to set up a poultry farm system structure that will meet all kinds of electricity needs of the poultry farm from the solar PV power plant. To accomplish the task, a new term called Poultry Demand Side Management (PoDSM) has been introduced which discusses Poultry Agriculture demand and Renewable Energy (Solar) demand in Bangladesh. Moreover, for a better understanding and outcomes, the research work has been done under a poultry farm in Charsita village, Lakshmipur, Bangladesh. In addition, energy planning and management systems, which satisfy electricity demand and the estimation of the demand for the entire poultry farm, were addressed in the letter part of this article. However, through the analysis of energy modeling, energy planning, and management systems which justify the term Poultry Demand Side Management (PoDSM). Moreover, an energy planning and management system has been discussed which meets the demand for electricity with required loads demand calculation for the entire poultry farm. Nevertheless, after finalizing the design of the Solar PV Power Plant, 2.8 kW of power will be generated to meet the electricity demand of poultry farm, which will reduce the energy demand of the main grid for poultry farms. However, this work aims to improve the generation of Renewable Energy using Solar PV.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131332901","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 : 2021-12-01DOI: 10.1109/ComPE53109.2021.9752370
R. R, Sini Sreekumar, Jyothis J Joy, Akbarsha Akbarsha, B. G
Because of the non-linear nature of diode-bridge rectifier, Electric Vehicle battery chargers prevalent now are facing issues due to Power Quality (PQ) deterioration at AC mains. They suffer from disadvantages like high Total Harmonic Distortion(THD), highly distorted input current and low power factor. The proposed zeta converter methodology rectifies all these disadvantages. Here the output is made to follow the input as a result of which high power factor is obtained. Control scheme used is simple since it is needed only for controlling one switch. Hence the size and cost become low. Converter used provides regulated dc output which is fed to Electric vehicle battery. The voltage and current is sensed and controlled by the controller which employs dual PI control. These control signals help in generating the firing pulses for the converter. This paper proposes a possibility to develop a battery charger for electric vehicle such as E-Rickshaws and Electric scooter having improved PQ indices according to IEC 61000-3-2 standard, enhanced battery life with uniform charging current waveform, Total Harmonic Distortion (THD) below 5%, input current drawn remaining sinusoidal irrespective of voltage variations also helps in maintaining the input power factor at unity.
{"title":"Implementation of Enhanced Power Quality Electric Vehicle Charging System with Zeta Topology","authors":"R. R, Sini Sreekumar, Jyothis J Joy, Akbarsha Akbarsha, B. G","doi":"10.1109/ComPE53109.2021.9752370","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9752370","url":null,"abstract":"Because of the non-linear nature of diode-bridge rectifier, Electric Vehicle battery chargers prevalent now are facing issues due to Power Quality (PQ) deterioration at AC mains. They suffer from disadvantages like high Total Harmonic Distortion(THD), highly distorted input current and low power factor. The proposed zeta converter methodology rectifies all these disadvantages. Here the output is made to follow the input as a result of which high power factor is obtained. Control scheme used is simple since it is needed only for controlling one switch. Hence the size and cost become low. Converter used provides regulated dc output which is fed to Electric vehicle battery. The voltage and current is sensed and controlled by the controller which employs dual PI control. These control signals help in generating the firing pulses for the converter. This paper proposes a possibility to develop a battery charger for electric vehicle such as E-Rickshaws and Electric scooter having improved PQ indices according to IEC 61000-3-2 standard, enhanced battery life with uniform charging current waveform, Total Harmonic Distortion (THD) below 5%, input current drawn remaining sinusoidal irrespective of voltage variations also helps in maintaining the input power factor at unity.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115515631","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 : 2021-12-01DOI: 10.1109/ComPE53109.2021.9752086
Ms. Jumpi Dutta, D. Chanda
Emotion plays an important role in communication. Music emotion recognition is the extraction of emotion present in a song sample. Pitch, intensity and formants frequencies are important features to identify the emotion in an audio signal. In this paper, different features like pitch, intensity and formant frequencies have been extracted for emotion recognition in songs and then their analysis is carried out. PRAAT software is used to extract these features. Three different emotions namely happy, sad and angry are considered for this work. The RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) emotional songs database is used for emotion analysis. Finally, the significance of each feature for different emotions has been detected and analyzed.
情感在沟通中起着重要的作用。音乐情感识别是对歌曲样本中存在的情感进行提取。音高、强度和共振峰频率是识别音频信号中情感的重要特征。本文通过提取歌曲的音高、强度、峰频率等不同特征进行情感识别，并对其进行分析。使用PRAAT软件提取这些特征。这幅作品考虑了三种不同的情绪，即快乐、悲伤和愤怒。RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song)情感歌曲数据库用于情感分析。最后，检测并分析了每个特征对不同情绪的意义。
{"title":"Feature Extraction and Analysis for Emotion Recognition in Songs using PRAAT Software","authors":"Ms. Jumpi Dutta, D. Chanda","doi":"10.1109/ComPE53109.2021.9752086","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9752086","url":null,"abstract":"Emotion plays an important role in communication. Music emotion recognition is the extraction of emotion present in a song sample. Pitch, intensity and formants frequencies are important features to identify the emotion in an audio signal. In this paper, different features like pitch, intensity and formant frequencies have been extracted for emotion recognition in songs and then their analysis is carried out. PRAAT software is used to extract these features. Three different emotions namely happy, sad and angry are considered for this work. The RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) emotional songs database is used for emotion analysis. Finally, the significance of each feature for different emotions has been detected and analyzed.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114838201","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 : 2021-12-01DOI: 10.1109/ComPE53109.2021.9751730
Pallavi Roy, Paran Choudhury, Partha Jyoti Bodo
This paper briefly discusses the modeling and design of a Thermoelectric Generator(TEG),a semiconductor device, which converts the temperature difference to electromotive force(emf),based on the phenomenon called the Seebeck effect and hence it is also called as Seebeck generator. A study has been made about the performance analysis of Thermo electric Generator. We have also developed a Thermoelectric generator model with the help of Matlab/Simulink and studied its performance in a car exhaust for recovery of waste heat. The model is capable of recovering a good amount of electrical power from the exhaust waste heat.
{"title":"Modeling and Design of a Thermoelectric Generator for Waste Heat Recovery","authors":"Pallavi Roy, Paran Choudhury, Partha Jyoti Bodo","doi":"10.1109/ComPE53109.2021.9751730","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9751730","url":null,"abstract":"This paper briefly discusses the modeling and design of a Thermoelectric Generator(TEG),a semiconductor device, which converts the temperature difference to electromotive force(emf),based on the phenomenon called the Seebeck effect and hence it is also called as Seebeck generator. A study has been made about the performance analysis of Thermo electric Generator. We have also developed a Thermoelectric generator model with the help of Matlab/Simulink and studied its performance in a car exhaust for recovery of waste heat. The model is capable of recovering a good amount of electrical power from the exhaust waste heat.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114914395","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 : 2021-12-01DOI: 10.1109/ComPE53109.2021.9752028
M. Rahman, Md Nazaf Rabbi, Golam Sarowar
DC-DC converter is an essential aspect of power electronics. Its voltage altering capabilities are used for power conversion applications. As the demand for different output voltage levels increases, so does the demand for new converter topologies, which can match the said demands. This piece of literature discusses various types of converters, such as cascaded and bidirectional converters. Also included is a discussion about the technological advancement of different types of converters and shows how the converters are different from each other schematically. The paper aims to depict the details of DC-DC converters' history and establish a foundation for the development of next-generation converters.
{"title":"Development of DC-DC Converters – A Review","authors":"M. Rahman, Md Nazaf Rabbi, Golam Sarowar","doi":"10.1109/ComPE53109.2021.9752028","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9752028","url":null,"abstract":"DC-DC converter is an essential aspect of power electronics. Its voltage altering capabilities are used for power conversion applications. As the demand for different output voltage levels increases, so does the demand for new converter topologies, which can match the said demands. This piece of literature discusses various types of converters, such as cascaded and bidirectional converters. Also included is a discussion about the technological advancement of different types of converters and shows how the converters are different from each other schematically. The paper aims to depict the details of DC-DC converters' history and establish a foundation for the development of next-generation converters.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123991447","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 : 2021-12-01DOI: 10.1109/ComPE53109.2021.9752369
Devi R, M. T, Divya Priyadharshini M, Ganesh Prabhu S, S. P., Aishwarya M
Distance relay trips unnecessarily under power swing condition and it is considered as the significant circumstance for power system blackouts. To prevent the hazard of misoperation of distance relay, a scheme is essential so as to block circuit breaker tripping during power swing and to detect a fault during power swing condition. In Power system faults, unsymmetrical faults are unbalanced signals which have negative & zero sequence components, and these sequence components help to identify the faults during the power swing. Whereas, these components are absent during symmetrical fault since power swing and symmetrical fault are balanced phenomena. Symmetrical fault detection under power swing condition is a critical issue. Hence, Power system protection due to symmetrical fault during power swing is difficult. In this regard, a proposed scheme based on Direct axis – Quadrature axis transformation and Wavelet packet entropy to identify symmetrical faults occurring with power swing is proposed. The proposed technique is investigated for various power swing and fault conditions on two-machine system, distribution system with distributed generation and WSCC 9-bus system using Matlab software. This scheme provides better results irrespective of various fault locations, fault inception angle, and power swing frequencies. This scheme can also detect asymmetrical faults with high impedance during power swing.
{"title":"Symmetrical Fault Detection During Power Swing Based on dq-Wavelet Packet Entropy","authors":"Devi R, M. T, Divya Priyadharshini M, Ganesh Prabhu S, S. P., Aishwarya M","doi":"10.1109/ComPE53109.2021.9752369","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9752369","url":null,"abstract":"Distance relay trips unnecessarily under power swing condition and it is considered as the significant circumstance for power system blackouts. To prevent the hazard of misoperation of distance relay, a scheme is essential so as to block circuit breaker tripping during power swing and to detect a fault during power swing condition. In Power system faults, unsymmetrical faults are unbalanced signals which have negative & zero sequence components, and these sequence components help to identify the faults during the power swing. Whereas, these components are absent during symmetrical fault since power swing and symmetrical fault are balanced phenomena. Symmetrical fault detection under power swing condition is a critical issue. Hence, Power system protection due to symmetrical fault during power swing is difficult. In this regard, a proposed scheme based on Direct axis – Quadrature axis transformation and Wavelet packet entropy to identify symmetrical faults occurring with power swing is proposed. The proposed technique is investigated for various power swing and fault conditions on two-machine system, distribution system with distributed generation and WSCC 9-bus system using Matlab software. This scheme provides better results irrespective of various fault locations, fault inception angle, and power swing frequencies. This scheme can also detect asymmetrical faults with high impedance during power swing.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124091889","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 : 2021-12-01DOI: 10.1109/ComPE53109.2021.9752109
Pratap Narra, J. Kirar
Visually challenged people face a lot of difficulty in currency recognition and counterfeit notes identification. The change of currency notes during different time frames also adds more difficulty in recognizing features in currency notes manually by the visually impaired. Further, the number of counterfeit notes in circulation in India is increasing every year. Computer-aided currency recognition and fake note detection can help people in the identification of currency denomination without any dependency on manual intervention. In this work, we have proposed a currency recognition algorithm that can classify an Indian currency and help in identifying the fake notes without manual intervention and thereby preventing their circulation in the country. In this work, Chan Vese Segmentation is used to segment the security features of a note and then an ensemble of classifiers is used for classification and fake note identification. Experimental results show promising results even on the small dataset. The method can be extended to currency recognition for different countries.
{"title":"Indian Currency Classification and Fake Note Identification using Feature Ensemble Approach","authors":"Pratap Narra, J. Kirar","doi":"10.1109/ComPE53109.2021.9752109","DOIUrl":"https://doi.org/10.1109/ComPE53109.2021.9752109","url":null,"abstract":"Visually challenged people face a lot of difficulty in currency recognition and counterfeit notes identification. The change of currency notes during different time frames also adds more difficulty in recognizing features in currency notes manually by the visually impaired. Further, the number of counterfeit notes in circulation in India is increasing every year. Computer-aided currency recognition and fake note detection can help people in the identification of currency denomination without any dependency on manual intervention. In this work, we have proposed a currency recognition algorithm that can classify an Indian currency and help in identifying the fake notes without manual intervention and thereby preventing their circulation in the country. In this work, Chan Vese Segmentation is used to segment the security features of a note and then an ensemble of classifiers is used for classification and fake note identification. Experimental results show promising results even on the small dataset. The method can be extended to currency recognition for different countries.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124740187","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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