Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619412
Poornimha J, A. Senthil kumar, Hesham Mohammed Ali Abdullah
A Wireless Sensor network (WSN) is comprised of numerous sensors that assist in the monitoring of physical environments, temperature of various applications, vibration, gravity, and signal detectors that relay data to the main node or center, which then processes the information. The key feature of sensor nodes in Wireless Sensor Network (WSN) is their low energy requirements and the simple processing capabilities. Therefore, an efficient use of resources is imperative in WSN-based applications. In this study a proposal for a new approach to maximize the sensor node lifetime is being reviewed. Once a route has been discovered, the network uses the shortest path algorithm. During routing, it searches for the energy nodes and adopts the direction of energy thereby changing the path from the shortest to that based on the energy level. The sensor values that have the most remaining energy will be chosen as the secondary path. This study identifies that the proposed method performs up to three times better than the existing outing method that is being followed.
{"title":"A New Approach to Improve Energy Consumption Time and Life Time using Energy Based Routing in WSN","authors":"Poornimha J, A. Senthil kumar, Hesham Mohammed Ali Abdullah","doi":"10.1109/ETI4.051663.2021.9619412","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619412","url":null,"abstract":"A Wireless Sensor network (WSN) is comprised of numerous sensors that assist in the monitoring of physical environments, temperature of various applications, vibration, gravity, and signal detectors that relay data to the main node or center, which then processes the information. The key feature of sensor nodes in Wireless Sensor Network (WSN) is their low energy requirements and the simple processing capabilities. Therefore, an efficient use of resources is imperative in WSN-based applications. In this study a proposal for a new approach to maximize the sensor node lifetime is being reviewed. Once a route has been discovered, the network uses the shortest path algorithm. During routing, it searches for the energy nodes and adopts the direction of energy thereby changing the path from the shortest to that based on the energy level. The sensor values that have the most remaining energy will be chosen as the secondary path. This study identifies that the proposed method performs up to three times better than the existing outing method that is being followed.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125782908","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619339
R.K. Niranjan, C. R. Rao, A.K. Singh
In the modern battle field, due to proliferation of the similar radars growing demand for specific emitter identification. To identify these radars uniquely in real-time is a challenge to understand the deployment pattern. Present ELINT systems are required to decipher the exotic modulations on a pulse to pulse basis to achieve specific emitter identification of military radars. In this paper, instantaneous frequency profile is used to measure the exotic modulation and their parameter which includes linear frequency modulation (LFM) with bi-phase modulation (BPM) and stepped frequency modulation (SFM) with BPM along with other modulations. These modulation measurements contribute in de-interleaving of signals. The proposed algorithm is simulated in Matlab and results are verified with different signal-to-noise ratios. This algorithm is also implemented on FPGA to demonstrate real-time performance.
{"title":"Real-Time Identification of Exotic Modulated Radar Signals for Electronic Intelligence Systems","authors":"R.K. Niranjan, C. R. Rao, A.K. Singh","doi":"10.1109/ETI4.051663.2021.9619339","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619339","url":null,"abstract":"In the modern battle field, due to proliferation of the similar radars growing demand for specific emitter identification. To identify these radars uniquely in real-time is a challenge to understand the deployment pattern. Present ELINT systems are required to decipher the exotic modulations on a pulse to pulse basis to achieve specific emitter identification of military radars. In this paper, instantaneous frequency profile is used to measure the exotic modulation and their parameter which includes linear frequency modulation (LFM) with bi-phase modulation (BPM) and stepped frequency modulation (SFM) with BPM along with other modulations. These modulation measurements contribute in de-interleaving of signals. The proposed algorithm is simulated in Matlab and results are verified with different signal-to-noise ratios. This algorithm is also implemented on FPGA to demonstrate real-time performance.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122283660","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619241
Supriya Devi, K. Nagaraja
This paper presents the aerodynamic performance of wind turbine blades with higher order triangular meshing. Subparametric transformation of triangular elements has been implemented on the higher order triangular meshing over two wind turbine blades. Wind turbine blades of NACA 4-digit series have been considered in the present work, NACA0015, and NACA0021 blades. The aerodynamic performance of the wind turbine blades has been computed at Reynolds number 68,000 and 1,20,00 at various angles of attack (AOA) respectively. The results of the lower order meshes and higher order meshes over these blades are compared. Computation with the higher order meshes has outperformed better in comparison with the lower order meshes and experimental results. The computation of lift coefficient and the drag coefficient of NACA0015 and NACA0021 blades at increasing AOA has been compared and plotted in the present work. Hence it is useful for the shape optimization of the blades for enhanced performance during morphing and an icing event. The aerodynamic performance of the wind turbine blades obtained from the higher order results can be applied for more energy production in energy applications.
{"title":"Enhanced Aerodynamic Performance of Wind Turbine Blades by Finite Element Meshing in Energy Applications","authors":"Supriya Devi, K. Nagaraja","doi":"10.1109/ETI4.051663.2021.9619241","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619241","url":null,"abstract":"This paper presents the aerodynamic performance of wind turbine blades with higher order triangular meshing. Subparametric transformation of triangular elements has been implemented on the higher order triangular meshing over two wind turbine blades. Wind turbine blades of NACA 4-digit series have been considered in the present work, NACA0015, and NACA0021 blades. The aerodynamic performance of the wind turbine blades has been computed at Reynolds number 68,000 and 1,20,00 at various angles of attack (AOA) respectively. The results of the lower order meshes and higher order meshes over these blades are compared. Computation with the higher order meshes has outperformed better in comparison with the lower order meshes and experimental results. The computation of lift coefficient and the drag coefficient of NACA0015 and NACA0021 blades at increasing AOA has been compared and plotted in the present work. Hence it is useful for the shape optimization of the blades for enhanced performance during morphing and an icing event. The aerodynamic performance of the wind turbine blades obtained from the higher order results can be applied for more energy production in energy applications.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115842634","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619320
V. H. Kumar, P. Pavan Kumar, R. Patel
Multilevel inverters are the new switching topologieswhere industrialist and researchers showimmense effort in work. While PV technology is also emerging as more reliable renewable energy resource for harnessing energy which shares hand to supply demand with existing one. In this paper work a new type of topology for MLIin solar PV system with the number of power electronic switched reduced for its operation.The proposed topology with the statedsinusoidal-pulse width modulation (SPWM) technique reduces the highfrequency voltage transitions in the terminal voltages at output. As the levels in the multilevel inverter increases the THD at the output goes to lower value. Thus the performance of inverter used in any application improves significantly.The proposed approach is comprehensivelysimulated in MATLAB/Simulink software environment and is validatedwith output obtained via simulationresults and THD analysisis conducted duringthe operation of the converter.
{"title":"Reduced Switch Topology for Multilevel Inverter in Solar PV Systems","authors":"V. H. Kumar, P. Pavan Kumar, R. Patel","doi":"10.1109/ETI4.051663.2021.9619320","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619320","url":null,"abstract":"Multilevel inverters are the new switching topologieswhere industrialist and researchers showimmense effort in work. While PV technology is also emerging as more reliable renewable energy resource for harnessing energy which shares hand to supply demand with existing one. In this paper work a new type of topology for MLIin solar PV system with the number of power electronic switched reduced for its operation.The proposed topology with the statedsinusoidal-pulse width modulation (SPWM) technique reduces the highfrequency voltage transitions in the terminal voltages at output. As the levels in the multilevel inverter increases the THD at the output goes to lower value. Thus the performance of inverter used in any application improves significantly.The proposed approach is comprehensivelysimulated in MATLAB/Simulink software environment and is validatedwith output obtained via simulationresults and THD analysisis conducted duringthe operation of the converter.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130274067","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619332
A. Prakash, R. Anand, S. Abinayaa, N. S. Kalyan Chakravarthy
Diabetes Mellitus is a serious illness that distresses a large number of people all over the world. Diabetes Mellitus may be caused by age, obesity, lack of exercise, genetic diabetes, lifestyle, poor diet, high blood pressure, and other factors. Diabetics are at a greater risk of contracting conditions such as heart failure, kidney disease, stroke, eye disorders, nerve damage, and so on. The current hospital procedure is to gather necessary information for diabetes diagnosis via different tests, and then offer appropriate care based on the diagnosis. In the healthcare industry, machine learning and deep learning play a significant role. Databases in the healthcare industry are huge. Data analytics can be used to examine large databases and uncover secret information and trends, allowing users to gain insight from the data and forecast outcomes accordingly. The classification and prediction accuracy of the current system is not very good. Normalized Naïve Bayes (NNB) model is proposed in this paper, and its performances are compared in terms of different parameters to help with classification. RapidMiner Studio is used to carry out the execution.
{"title":"Normalized Naïve Bayes Model to predict Type –2 Diabetes Mellitus","authors":"A. Prakash, R. Anand, S. Abinayaa, N. S. Kalyan Chakravarthy","doi":"10.1109/ETI4.051663.2021.9619332","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619332","url":null,"abstract":"Diabetes Mellitus is a serious illness that distresses a large number of people all over the world. Diabetes Mellitus may be caused by age, obesity, lack of exercise, genetic diabetes, lifestyle, poor diet, high blood pressure, and other factors. Diabetics are at a greater risk of contracting conditions such as heart failure, kidney disease, stroke, eye disorders, nerve damage, and so on. The current hospital procedure is to gather necessary information for diabetes diagnosis via different tests, and then offer appropriate care based on the diagnosis. In the healthcare industry, machine learning and deep learning play a significant role. Databases in the healthcare industry are huge. Data analytics can be used to examine large databases and uncover secret information and trends, allowing users to gain insight from the data and forecast outcomes accordingly. The classification and prediction accuracy of the current system is not very good. Normalized Naïve Bayes (NNB) model is proposed in this paper, and its performances are compared in terms of different parameters to help with classification. RapidMiner Studio is used to carry out the execution.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134409008","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619307
Lipismita Panigrahi, K. Verma
Reliability and accuracy is the key concern of an automated image classification process. However, the impact of background or surrounding area is very less in compared to object features, which create ambiguity while assigning the appropriate class label and reduce the classification accuracy. This paper presents a new model to address this issue which select the relevant features from the segmented images based on the inner and outer regions. The key idea of this model is that the texture features within the objects are more relevant than the outside area of the objects. The proposed model applying a segmentation method for automated segment the image. The segmented images are then subdivided into two parts (i.e. inner and outer). The 463 shape and texture features are extracted from the inner, outer parts of the segmented images and also from the whole image. Next, these extracted features are used to train the classifier using support vector machine (SVM). A database of 644 images that consisting of 8 classes is used to verify the efficacy of the proposed model. The result proves the efficacy of the proposed model which achieves classification accuracy up to 97.79 % from the inner part of the image. The classification accuracy of inner features is increased by 9.58% from surroundings features.
{"title":"Segmented Region based Feature Extraction for Image Classification","authors":"Lipismita Panigrahi, K. Verma","doi":"10.1109/ETI4.051663.2021.9619307","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619307","url":null,"abstract":"Reliability and accuracy is the key concern of an automated image classification process. However, the impact of background or surrounding area is very less in compared to object features, which create ambiguity while assigning the appropriate class label and reduce the classification accuracy. This paper presents a new model to address this issue which select the relevant features from the segmented images based on the inner and outer regions. The key idea of this model is that the texture features within the objects are more relevant than the outside area of the objects. The proposed model applying a segmentation method for automated segment the image. The segmented images are then subdivided into two parts (i.e. inner and outer). The 463 shape and texture features are extracted from the inner, outer parts of the segmented images and also from the whole image. Next, these extracted features are used to train the classifier using support vector machine (SVM). A database of 644 images that consisting of 8 classes is used to verify the efficacy of the proposed model. The result proves the efficacy of the proposed model which achieves classification accuracy up to 97.79 % from the inner part of the image. The classification accuracy of inner features is increased by 9.58% from surroundings features.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132968286","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}
This paper contributes for the development of a novel technique for solar energized grid integrated water pumping system which is driven through PMS motor. The impetus for proposing this technique is to provide incessant operation of a water pumping system without accounting for variations in solar insolation with improved power quality. When the power extracted from PV exceeds to the pump load requirement, the excess power is fed to the linked grid, and if the PV power is not sufficient to operate the pumping system, the grid supplies the remaining power to keep the pumping system running continuously. By improving the power quality, the system becomes more reliable, accurate, and effective. Here, system is tested through a logic in which, if irradiance is above 500 W=m2, solar energy is fed to grid after feeding the pump load demand and refrence speed for the pump is evaluated based on the solar generation. On the other hand if irrdiance is below 500 W=m2, PV power is not able to match the pump demand. In this condition the pump is supplied by the PV array as well as grid and reference pump speed is set to the rated speed for full capacity operation as the utility grid is infinite source. To make such system, we have connected a voltage source converter for utility grid control and a voltage source inverter for PMS motor control to the dc link. Unit vector template theory is also used to control the bidirectional power flow between a solar PV system and the linked utility grid. For filtering the polluted grid voltage and estimating synchronising components, a FOFFT (Fourth Order Fundamental Filtration Technique) based control algorithm is used. The incremental conductance technique is used to obtain the duty ratio for MPP operations in MPP tracking. The sensorless vector control technique is used to control the speed of the PMS motor. MATLAB/Simulink is used to develop and test the proposed methodology.
{"title":"FOFFT Based Grid Connected PMS Motor Driven Solar Water Pumping With Improved Power Quality","authors":"Apoorva Sharma, Tripurari Nath Gupta, Sanjay Kumar Peeploda","doi":"10.1109/ETI4.051663.2021.9619266","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619266","url":null,"abstract":"This paper contributes for the development of a novel technique for solar energized grid integrated water pumping system which is driven through PMS motor. The impetus for proposing this technique is to provide incessant operation of a water pumping system without accounting for variations in solar insolation with improved power quality. When the power extracted from PV exceeds to the pump load requirement, the excess power is fed to the linked grid, and if the PV power is not sufficient to operate the pumping system, the grid supplies the remaining power to keep the pumping system running continuously. By improving the power quality, the system becomes more reliable, accurate, and effective. Here, system is tested through a logic in which, if irradiance is above 500 W=m2, solar energy is fed to grid after feeding the pump load demand and refrence speed for the pump is evaluated based on the solar generation. On the other hand if irrdiance is below 500 W=m2, PV power is not able to match the pump demand. In this condition the pump is supplied by the PV array as well as grid and reference pump speed is set to the rated speed for full capacity operation as the utility grid is infinite source. To make such system, we have connected a voltage source converter for utility grid control and a voltage source inverter for PMS motor control to the dc link. Unit vector template theory is also used to control the bidirectional power flow between a solar PV system and the linked utility grid. For filtering the polluted grid voltage and estimating synchronising components, a FOFFT (Fourth Order Fundamental Filtration Technique) based control algorithm is used. The incremental conductance technique is used to obtain the duty ratio for MPP operations in MPP tracking. The sensorless vector control technique is used to control the speed of the PMS motor. MATLAB/Simulink is used to develop and test the proposed methodology.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132749878","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619287
Giribabu Sadineni, M. Archana, R. Tanguturi
Wireless Sensing Networks (WSNs) offer excellent environmental monitoring capabilities and use many interesting applications in advanced network applications. The problem is that the security mechanisms used in wired networks cannot be incorporated directly in WSN due to scarce resources. In this paper, specific measures that need to be taken against across distributed wireless networks, explore some of the approaches to detect attacks, and propose a new game theory-approach in identifying the intrusion detection. Two key elements which are most challenging in mobile and wireless networks, the geo-location of the nodes will change dynamically and security between the nodes is limited and monitoring packet transmission in order to avoid various intrusion methods involved between the nodes and data transmission has to be secured with a guarding mechanism. This paper implements about how to provide advanced authentication schemes for network programming to avoid and reduce intrusion and precautionary measures to be considered in avoiding intrusion detection in advantage of vulnerabilities and attack network and causes failure. The results show that implemented research on sensor network security focuses on the ability to detect third-party intrusion attempts, even if they are attempts to attack even before it has happened If the intruder is detected quickly, appropriate action is taken before any damage occurs or if any data is available made a compromise.
{"title":"A Highly Efficient Intrusion Detection and Packet Tracking Based on Game Theory Approach","authors":"Giribabu Sadineni, M. Archana, R. Tanguturi","doi":"10.1109/ETI4.051663.2021.9619287","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619287","url":null,"abstract":"Wireless Sensing Networks (WSNs) offer excellent environmental monitoring capabilities and use many interesting applications in advanced network applications. The problem is that the security mechanisms used in wired networks cannot be incorporated directly in WSN due to scarce resources. In this paper, specific measures that need to be taken against across distributed wireless networks, explore some of the approaches to detect attacks, and propose a new game theory-approach in identifying the intrusion detection. Two key elements which are most challenging in mobile and wireless networks, the geo-location of the nodes will change dynamically and security between the nodes is limited and monitoring packet transmission in order to avoid various intrusion methods involved between the nodes and data transmission has to be secured with a guarding mechanism. This paper implements about how to provide advanced authentication schemes for network programming to avoid and reduce intrusion and precautionary measures to be considered in avoiding intrusion detection in advantage of vulnerabilities and attack network and causes failure. The results show that implemented research on sensor network security focuses on the ability to detect third-party intrusion attempts, even if they are attempts to attack even before it has happened If the intruder is detected quickly, appropriate action is taken before any damage occurs or if any data is available made a compromise.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114667219","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619433
Lalit Kumar, M. M. Kar, Sanjay Kumar
In this article, the moth flame optimization (MFO) algorithm is applied for reactive power planning (RPP) by placing FACTS controllers in optimal position. The main objective of the article is to minimize the real power loss considering different loading conditions. Furthermore, the operating cost of the transmission system and voltage profile is evaluated which plays a critical role in choosing the Controller based technique is compared with some other evolutionary techniques like Particle Swarm Optimization (PSO) and Biogeography-based optimization (BBO) which is applied on IEEE 30 bus system. The superiority of MFO is demonstrated in terms of real power losses, operating cost, and voltage profile of the system compared to PSO and BBO techniques and can be suggested for RPP.
{"title":"Reactive Power Management by Optimal Positioning of FACTS Controllers using MFO Algorithm","authors":"Lalit Kumar, M. M. Kar, Sanjay Kumar","doi":"10.1109/ETI4.051663.2021.9619433","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619433","url":null,"abstract":"In this article, the moth flame optimization (MFO) algorithm is applied for reactive power planning (RPP) by placing FACTS controllers in optimal position. The main objective of the article is to minimize the real power loss considering different loading conditions. Furthermore, the operating cost of the transmission system and voltage profile is evaluated which plays a critical role in choosing the Controller based technique is compared with some other evolutionary techniques like Particle Swarm Optimization (PSO) and Biogeography-based optimization (BBO) which is applied on IEEE 30 bus system. The superiority of MFO is demonstrated in terms of real power losses, operating cost, and voltage profile of the system compared to PSO and BBO techniques and can be suggested for RPP.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129449883","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619424
M. Dadhich, Manvinder Singh Pahwa, Shubham Goswami, Shalendra Singh Rao
Attesting to the enhancement of the overall health of commercial banks, accounting-based indicators show wholesome financial performance. The study attempts to appraise the financial performance of selected private and public commercial banks of India for the period from 2015-19. The attempt comprises 10 commercial banks of India, the top 5 scheduled commercial banks of public and private segments each, based on their market capitalization and total asset value. In the present chaotic scenario, it is pertinent to examine the prominent indicators of the selected banks with help of the CAMEL model that encompasses capital-adequacy, asset-quality, management-efficiency, earning-performance, and liquidity-position by employing the panel data estimations. The outcome of t-test signifies that the general financial performance i.e., management of NPA, profit per employee, net profit to the total fund of private sector banks seems comparatively healthier than the public banks during the study time. Since the momentum of mergers and acquisitions has begun in Indian banking sector so, the study can clarify the mechanism of prominent indicators based on the CAMEL approach which in turn, might help the regulators to adjust and calibrate the design of future policy requirements.
{"title":"Analytical Study of Financial Wellbeing of Selected Public and Private Sector Banks: A CAMEL Approach","authors":"M. Dadhich, Manvinder Singh Pahwa, Shubham Goswami, Shalendra Singh Rao","doi":"10.1109/ETI4.051663.2021.9619424","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619424","url":null,"abstract":"Attesting to the enhancement of the overall health of commercial banks, accounting-based indicators show wholesome financial performance. The study attempts to appraise the financial performance of selected private and public commercial banks of India for the period from 2015-19. The attempt comprises 10 commercial banks of India, the top 5 scheduled commercial banks of public and private segments each, based on their market capitalization and total asset value. In the present chaotic scenario, it is pertinent to examine the prominent indicators of the selected banks with help of the CAMEL model that encompasses capital-adequacy, asset-quality, management-efficiency, earning-performance, and liquidity-position by employing the panel data estimations. The outcome of t-test signifies that the general financial performance i.e., management of NPA, profit per employee, net profit to the total fund of private sector banks seems comparatively healthier than the public banks during the study time. Since the momentum of mergers and acquisitions has begun in Indian banking sector so, the study can clarify the mechanism of prominent indicators based on the CAMEL approach which in turn, might help the regulators to adjust and calibrate the design of future policy requirements.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129485801","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：