Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9777006
R. Adware, V. Chandrakar
The power quality issues is the major concerned because of increase in power demand as well as integration of various distributed generation system in to the grid. This result in to the increase in voltage instability, power flow fluctuations, voltage flickers, voltage sag/swell and harmonics in the power system. This paper is based on a shunt FACTS device used to improve the voltage profile by compensating reactive power with Thyristor based LC filter in conjunction with low DC link voltage VSC based Inverter. Modelling and design of the said topology is presented in the paper. Also MATLAB simulation design with various type of load conditions are provided in the paper.
{"title":"Power Quality Enhancement through Reactive Power Compensation Using Hybrid STATCOM","authors":"R. Adware, V. Chandrakar","doi":"10.1109/ICPC2T53885.2022.9777006","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777006","url":null,"abstract":"The power quality issues is the major concerned because of increase in power demand as well as integration of various distributed generation system in to the grid. This result in to the increase in voltage instability, power flow fluctuations, voltage flickers, voltage sag/swell and harmonics in the power system. This paper is based on a shunt FACTS device used to improve the voltage profile by compensating reactive power with Thyristor based LC filter in conjunction with low DC link voltage VSC based Inverter. Modelling and design of the said topology is presented in the paper. Also MATLAB simulation design with various type of load conditions are provided in the paper.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"34 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":"129503253","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}
A nonlinear Sigma point Kalman filter known as Central Difference Filter which considers only first order Taylor series approximation with the help of interpolation formula, have been employed here for the first time during dynamic state estimation of power systems states. This paper also exhibits a comparative performance analysis of two estimation techniques namely Central difference filter (CDF) and Cubature Kalman filter technique (CKF) during power systems dynamic state estimation. The estimation is performed employing measurements from Remote terminal units (RTU) and Phasor measurement units (PMU). The whole simulation process is carried out for IEEE 30 bus test system. Holts two parameter linear exponential technique which often utilized as a state forecasting technique has been used here to forecast the systems state at the prediction step. The superiority of CDF over CKF, has been illustrated here on context of computation time and estimation accuracy.
{"title":"Power Systems Dynamic State Estimation using Central Difference Filter","authors":"Arindam Chowdhury, Sayantan Chatterjee, Aritro Dey","doi":"10.1109/ICPC2T53885.2022.9777093","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777093","url":null,"abstract":"A nonlinear Sigma point Kalman filter known as Central Difference Filter which considers only first order Taylor series approximation with the help of interpolation formula, have been employed here for the first time during dynamic state estimation of power systems states. This paper also exhibits a comparative performance analysis of two estimation techniques namely Central difference filter (CDF) and Cubature Kalman filter technique (CKF) during power systems dynamic state estimation. The estimation is performed employing measurements from Remote terminal units (RTU) and Phasor measurement units (PMU). The whole simulation process is carried out for IEEE 30 bus test system. Holts two parameter linear exponential technique which often utilized as a state forecasting technique has been used here to forecast the systems state at the prediction step. The superiority of CDF over CKF, has been illustrated here on context of computation time and estimation accuracy.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"25 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":"126054471","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/ICPC2T53885.2022.9776786
Maanvi Bhatnagar, Anamika Yadav, A. Swetapadma
In recent years, microgrids have become more prominent in power systems, which means the existing conventional protection schemes must be approached with caution while using them for micro-grid protection. Presently available micro-grid protection techniques bank on features extracted from the extreme ends of the feeder to recognize any fault but do not provide any information regarding the status of in-line feeders. The scheme presented in this paper incorporates a light GBM classifier to identify the fault and give information about the faulty feeder section. Discrete Fourier Transforms (DFTs) have been used for previewing the time-synchronized measurements. For simplicity, the statistical features were computed from DFT coefficients and used as input features. A standard IEC 61850-7-420 microgrid incorporating renewable distributed generators (DGs) has been used to perform simulation studies by varying different operating conditions. The proposed methodology has been validated by the results illustrated.
{"title":"A Fault Detection and Faulty Section Identification Scheme for Micro-Grids","authors":"Maanvi Bhatnagar, Anamika Yadav, A. Swetapadma","doi":"10.1109/ICPC2T53885.2022.9776786","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776786","url":null,"abstract":"In recent years, microgrids have become more prominent in power systems, which means the existing conventional protection schemes must be approached with caution while using them for micro-grid protection. Presently available micro-grid protection techniques bank on features extracted from the extreme ends of the feeder to recognize any fault but do not provide any information regarding the status of in-line feeders. The scheme presented in this paper incorporates a light GBM classifier to identify the fault and give information about the faulty feeder section. Discrete Fourier Transforms (DFTs) have been used for previewing the time-synchronized measurements. For simplicity, the statistical features were computed from DFT coefficients and used as input features. A standard IEC 61850-7-420 microgrid incorporating renewable distributed generators (DGs) has been used to perform simulation studies by varying different operating conditions. The proposed methodology has been validated by the results illustrated.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"133 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":"126058261","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/ICPC2T53885.2022.9776845
Archika Malhotra, Aditi Singh
The Very Large Scale Integration (VLSI) industry has started adapting the Artificial Intelligence (AI) techniques in design automation as it provides the opportunity to transform the whole chip design methodology. It has been seen that in System-On-Chip (SoC), in order to add ML algorithms to increase its efficiency, there is a need to reduce the existing power consumption of the hardware as well. Hence, this makes AI an integral part of the VLSI industry. With this in mind, an extensive review has been conducted on various aspects of AI in the field of VLSI. This paper throws light on how AI has marked its way on various subfields of VLSI, namely, analog, digital and physical design. We have also taken into account the recent machine learning and deep learning techniques incorporated in VLSI.
{"title":"Implementation of AI in the field of VLSI: A Review","authors":"Archika Malhotra, Aditi Singh","doi":"10.1109/ICPC2T53885.2022.9776845","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776845","url":null,"abstract":"The Very Large Scale Integration (VLSI) industry has started adapting the Artificial Intelligence (AI) techniques in design automation as it provides the opportunity to transform the whole chip design methodology. It has been seen that in System-On-Chip (SoC), in order to add ML algorithms to increase its efficiency, there is a need to reduce the existing power consumption of the hardware as well. Hence, this makes AI an integral part of the VLSI industry. With this in mind, an extensive review has been conducted on various aspects of AI in the field of VLSI. This paper throws light on how AI has marked its way on various subfields of VLSI, namely, analog, digital and physical design. We have also taken into account the recent machine learning and deep learning techniques incorporated in VLSI.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"36 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":"122566640","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/ICPC2T53885.2022.9777020
D. Saxena, Ashutosh Kumar Singh
This paper proposes a Virtual Machine (VM) failure prediction based intelligent cloud resource management (FP-IRM) model that estimates failure of VMs proactively and assorts all the available resources effectively. Specifically, a novel ensemble predictor is developed to determine any resource (CPU, storage) congestion prior to occurrence in real-time. Accordingly, the VM migration process is triggered proactively to proficiently manage the VM failures by reason of insufficient physical resources. FP-IRM model is implemented and evaluated by using a real-world benchmark Google Cluster VM traces dataset. The experimental simulation and comparison with state-of-the-arts confirms the influential performance of the proposed model which has reduced the number of active servers up to 51.2 % and an improved resource utilization up to 24.3 % over the comparative approaches.
{"title":"VM Failure Prediction based Intelligent Resource Management Model for Cloud Environments","authors":"D. Saxena, Ashutosh Kumar Singh","doi":"10.1109/ICPC2T53885.2022.9777020","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777020","url":null,"abstract":"This paper proposes a Virtual Machine (VM) failure prediction based intelligent cloud resource management (FP-IRM) model that estimates failure of VMs proactively and assorts all the available resources effectively. Specifically, a novel ensemble predictor is developed to determine any resource (CPU, storage) congestion prior to occurrence in real-time. Accordingly, the VM migration process is triggered proactively to proficiently manage the VM failures by reason of insufficient physical resources. FP-IRM model is implemented and evaluated by using a real-world benchmark Google Cluster VM traces dataset. The experimental simulation and comparison with state-of-the-arts confirms the influential performance of the proposed model which has reduced the number of active servers up to 51.2 % and an improved resource utilization up to 24.3 % over the comparative approaches.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"1 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":"123877557","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/ICPC2T53885.2022.9777078
P. Sujatha, R.S. Dhivya
The main goal of this research is to analyze the employee performance associated with organization's growth. The research starts with collecting the employee information and then a deep exploratory data analysis has been conducted on the collected data to identify the significance contribution towards the organization. Finally, ensemble learning framework designed to identify the potential of employees to the organization. To the best of our knowledge, this is the first work which consists of all the aspects of employee performance has been included in the dataset. Also, we have used the real time employee dataset from reputed MNC Company from Chennai. The results show that the proposed Extreme gradient boosting ensemble learning algorithm gives better results.
{"title":"Ensemble Learning Framework to Predict the Employee Performance","authors":"P. Sujatha, R.S. Dhivya","doi":"10.1109/ICPC2T53885.2022.9777078","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777078","url":null,"abstract":"The main goal of this research is to analyze the employee performance associated with organization's growth. The research starts with collecting the employee information and then a deep exploratory data analysis has been conducted on the collected data to identify the significance contribution towards the organization. Finally, ensemble learning framework designed to identify the potential of employees to the organization. To the best of our knowledge, this is the first work which consists of all the aspects of employee performance has been included in the dataset. Also, we have used the real time employee dataset from reputed MNC Company from Chennai. The results show that the proposed Extreme gradient boosting ensemble learning algorithm gives better results.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"29 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":"124113379","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/ICPC2T53885.2022.9776871
P. Salodkar, Shraddha Meshram, Shouvik Dey
Sustainable electrical systems emphasize energy conservation and environmental protection. One of the ways to achieve this is by using an efficient fuel cell system. Designing a fuel cell should start with a set of objectives. In this literature, a review of fuel cells has been done from a broad perspective. One of the objectives to design a fuel cell lies with the basic working mechanism and voltage-current characteristics. It is followed by understanding the architectural configurations to prepare a stack system. In order to develop a hybrid model, various control strategies must be adopted. Crisp modeling is also required to simulate the system in an artificial environment, which aids in improving the operating parameters of the model. Basic modeling parameters are reviewed in this paper. This can further be elaborated on to complex systems. Few major applications in predominant sectors are also briefed.
{"title":"Review of Hydrogen Fuel Cell as an emergent field in Green Technology","authors":"P. Salodkar, Shraddha Meshram, Shouvik Dey","doi":"10.1109/ICPC2T53885.2022.9776871","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776871","url":null,"abstract":"Sustainable electrical systems emphasize energy conservation and environmental protection. One of the ways to achieve this is by using an efficient fuel cell system. Designing a fuel cell should start with a set of objectives. In this literature, a review of fuel cells has been done from a broad perspective. One of the objectives to design a fuel cell lies with the basic working mechanism and voltage-current characteristics. It is followed by understanding the architectural configurations to prepare a stack system. In order to develop a hybrid model, various control strategies must be adopted. Crisp modeling is also required to simulate the system in an artificial environment, which aids in improving the operating parameters of the model. Basic modeling parameters are reviewed in this paper. This can further be elaborated on to complex systems. Few major applications in predominant sectors are also briefed.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"11 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":"128470829","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/ICPC2T53885.2022.9776966
Sweta Gupta, K. Gupta, P. Shukla, M. Shrivas
Voting is a well-proven method of democratizing human societies and achieving consensus to avoid any conflicts. The unbiased trusted third parties are involved to conduct and administer the voting. However, in the past, various incidents of misconduct and biases were reported in the voting process. The blockchain eliminates the need for any trusted third party by using consensus algorithms and smart contracts, hence is the best fit to conduct voting as blockchain provides tamperproof, transparent, secure, and auditable voting solutions. Blockchain uses public-private key cryptography to ensure end-to-end encryption and uses hash functions and hashes to tamperproof voting ledgers. Quantum computing is going to be a major threat to the blockchain as current public-private key cryptography and hash functions are being used in almost all blockchains and Distributed Ledger Technologies (DLTs) belonging to the Pre-quantum cryptography era. This research article critically reviews the advancement and current state of blockchain-based online voting systems, their features, and challenges along with advancements in quantum computing, post-quantum cryptography. This research article proposes a system design of a voting system on the blockchain using post-quantum cryptography along with systematic and critical views and conclusions towards quantum-resistant blockchain for a future online voting system in the post-quantum cryptography era.
{"title":"Blockchain-based Voting System Powered by Post-Quantum Cryptography (BBVSP-PQC)","authors":"Sweta Gupta, K. Gupta, P. Shukla, M. Shrivas","doi":"10.1109/ICPC2T53885.2022.9776966","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776966","url":null,"abstract":"Voting is a well-proven method of democratizing human societies and achieving consensus to avoid any conflicts. The unbiased trusted third parties are involved to conduct and administer the voting. However, in the past, various incidents of misconduct and biases were reported in the voting process. The blockchain eliminates the need for any trusted third party by using consensus algorithms and smart contracts, hence is the best fit to conduct voting as blockchain provides tamperproof, transparent, secure, and auditable voting solutions. Blockchain uses public-private key cryptography to ensure end-to-end encryption and uses hash functions and hashes to tamperproof voting ledgers. Quantum computing is going to be a major threat to the blockchain as current public-private key cryptography and hash functions are being used in almost all blockchains and Distributed Ledger Technologies (DLTs) belonging to the Pre-quantum cryptography era. This research article critically reviews the advancement and current state of blockchain-based online voting systems, their features, and challenges along with advancements in quantum computing, post-quantum cryptography. This research article proposes a system design of a voting system on the blockchain using post-quantum cryptography along with systematic and critical views and conclusions towards quantum-resistant blockchain for a future online voting system in the post-quantum cryptography era.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"16 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":"116131532","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/ICPC2T53885.2022.9777007
Jennalyn N. Mindoro, M. A. Malbog, Marte D. Nipas, Julie Ann B. Susa, Aimee G. Acoba, Joshua S. Gulmatico
The use of sentiment analysis of the customers' insight on the product delivery services would be an excellent opportunity to evaluate the customers' emotions in the courier delivery services. The result can link with the review to substitute for the product's performance or customer satisfaction. The primary steps in the study are data collection, data pre-processing, and sentiment analysis. The emotional data were analyzed using the VADER algorithm. A chatbot was used as an intermediary tool to collect emotional datasets. The compound score was calculated by adding the valence scores of each word in the lexicon, then adjusting them according to the guidelines and normalizing them. The negative, neutral, and positive scores represent the customer's sentiment. The test results achieved 93.33% sentiment accuracy based on the computed sentiment polarities and compound scores. The output evaluates that the system is effective based on the outcome and can be considered an innovative approach in analyzing the customers' perception of the product and services available in the market.
{"title":"Sentiment Analysis in Customer Experience in Philippine Courier Delivery Services using VADER Algorithm Thru Chatbot Interviews","authors":"Jennalyn N. Mindoro, M. A. Malbog, Marte D. Nipas, Julie Ann B. Susa, Aimee G. Acoba, Joshua S. Gulmatico","doi":"10.1109/ICPC2T53885.2022.9777007","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777007","url":null,"abstract":"The use of sentiment analysis of the customers' insight on the product delivery services would be an excellent opportunity to evaluate the customers' emotions in the courier delivery services. The result can link with the review to substitute for the product's performance or customer satisfaction. The primary steps in the study are data collection, data pre-processing, and sentiment analysis. The emotional data were analyzed using the VADER algorithm. A chatbot was used as an intermediary tool to collect emotional datasets. The compound score was calculated by adding the valence scores of each word in the lexicon, then adjusting them according to the guidelines and normalizing them. The negative, neutral, and positive scores represent the customer's sentiment. The test results achieved 93.33% sentiment accuracy based on the computed sentiment polarities and compound scores. The output evaluates that the system is effective based on the outcome and can be considered an innovative approach in analyzing the customers' perception of the product and services available in the market.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"39 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114093172","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/icpc2t53885.2022.9776739
{"title":"Second International Conference on Power, Control and Computing Technologies (ICPC2T-2022)","authors":"","doi":"10.1109/icpc2t53885.2022.9776739","DOIUrl":"https://doi.org/10.1109/icpc2t53885.2022.9776739","url":null,"abstract":"","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"131 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":"114854803","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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