Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730685
Vikas Patel, H. Madhukar
Emergence of Active Electronically Scanned Array (AESA) technology has immensely revolutionized the design and development of surveillance radars. Traditional mechanically steered seekers posses inherit limitations of electro-mechanical systems such as limited beam scan rate, inertia, backlash etc. With advances in AESA technology a new airborne pulse seeker for highly specific purpose is developed, whose beam can be controlled and stabilized using adaptive beam control software. Seeker's primary objective is to guide the missile towards intended target with very high precision in order to achieve target interception. Steering and stabilizing the beam of seeker mounted on highly manoeuvring platform is a critical challenge. Beam steering is achieved through phase control using 6 bit phase shifter in each Transmit Receive Modules (TRM) where as beam stabilization to counter platform motion is achieved with the MEMS based gyroscope. The system developed can be characterized with quasi circular planar array designed using highly miniaturized TRM. An inbuilt digital circuitry is designed for beam steering, using Field Programmable Gate Arrays(FPGA's). In this paper authors have presented the beam steering and stabilization scheme, its simulation and validation through implementation of presented scheme in seeker hardware.
{"title":"Beam Steering and Beam Stabilization of Active Electronically Scanned Array (AESA) Seeker for Missile Guidance","authors":"Vikas Patel, H. Madhukar","doi":"10.1109/CAPS52117.2021.9730685","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730685","url":null,"abstract":"Emergence of Active Electronically Scanned Array (AESA) technology has immensely revolutionized the design and development of surveillance radars. Traditional mechanically steered seekers posses inherit limitations of electro-mechanical systems such as limited beam scan rate, inertia, backlash etc. With advances in AESA technology a new airborne pulse seeker for highly specific purpose is developed, whose beam can be controlled and stabilized using adaptive beam control software. Seeker's primary objective is to guide the missile towards intended target with very high precision in order to achieve target interception. Steering and stabilizing the beam of seeker mounted on highly manoeuvring platform is a critical challenge. Beam steering is achieved through phase control using 6 bit phase shifter in each Transmit Receive Modules (TRM) where as beam stabilization to counter platform motion is achieved with the MEMS based gyroscope. The system developed can be characterized with quasi circular planar array designed using highly miniaturized TRM. An inbuilt digital circuitry is designed for beam steering, using Field Programmable Gate Arrays(FPGA's). In this paper authors have presented the beam steering and stabilization scheme, its simulation and validation through implementation of presented scheme in seeker hardware.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114862150","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730662
Babita Panda, Aman Sharma, Sudip Nandi, Arjyadhara Pradhan, B. Panda, C. Jena
The aim of this paper is to model a PMSG based wind turbine with different control strategy such as pitch angle and turbine control. The wind turbine operates at optimum efficiency with this control phenomena. Also the system is more reliable even in stormy climate conditions. The suggested system acknowledges 7 m/s wind speed as lowest and 50 m/s wind speed as max operating speed. In this study, the offshore regions are considered for standalone systems. The suggested system is modelled in MATLAB/SIMULINK platform for three different conditions such as i) Normal condition ii) Windy condition iii)Extreme condition.
{"title":"Modelling and Control of PMSG based Wind Turbine","authors":"Babita Panda, Aman Sharma, Sudip Nandi, Arjyadhara Pradhan, B. Panda, C. Jena","doi":"10.1109/CAPS52117.2021.9730662","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730662","url":null,"abstract":"The aim of this paper is to model a PMSG based wind turbine with different control strategy such as pitch angle and turbine control. The wind turbine operates at optimum efficiency with this control phenomena. Also the system is more reliable even in stormy climate conditions. The suggested system acknowledges 7 m/s wind speed as lowest and 50 m/s wind speed as max operating speed. In this study, the offshore regions are considered for standalone systems. The suggested system is modelled in MATLAB/SIMULINK platform for three different conditions such as i) Normal condition ii) Windy condition iii)Extreme condition.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115553812","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730650
Mausam Chouksey, R. K. Jha
One of the most commonly used approaches for image segmentation is multilevel thresholding. Histogram segmentation is the most often used approach in image segmentation. While histogram-based techniques only examine intensity frequency and ignore spatial information. Contextual knowledge helps improve the segmented image by helping users see how vital each pixel is and comprehend the context of other pixels. Spatial information is built into a curve with the same characteristics as a histogram. This work proposes Joint entropy and a multilevel energy curve for segmenting colour images. Multiverse optimization is employed as an optimization algorithm to find out the threshold. The energy curve based method is compared with a histogram-based method and variational mode decomposition-based method. The numerical metrics used to evaluate the proposed algorithm's output include structural similarity index, feature similarity index, peak signal to noise ratio, uniformity and a quality index based on local variance and computing time. Experiments show that the proposed algorithm produces more consistent results than existing techniques. The proposed algorithm delivers more consistent results than the other two techniques, according to the experiments.
{"title":"A context-based image segmentation using multiverse optimization and joint entropy","authors":"Mausam Chouksey, R. K. Jha","doi":"10.1109/CAPS52117.2021.9730650","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730650","url":null,"abstract":"One of the most commonly used approaches for image segmentation is multilevel thresholding. Histogram segmentation is the most often used approach in image segmentation. While histogram-based techniques only examine intensity frequency and ignore spatial information. Contextual knowledge helps improve the segmented image by helping users see how vital each pixel is and comprehend the context of other pixels. Spatial information is built into a curve with the same characteristics as a histogram. This work proposes Joint entropy and a multilevel energy curve for segmenting colour images. Multiverse optimization is employed as an optimization algorithm to find out the threshold. The energy curve based method is compared with a histogram-based method and variational mode decomposition-based method. The numerical metrics used to evaluate the proposed algorithm's output include structural similarity index, feature similarity index, peak signal to noise ratio, uniformity and a quality index based on local variance and computing time. Experiments show that the proposed algorithm produces more consistent results than existing techniques. The proposed algorithm delivers more consistent results than the other two techniques, according to the experiments.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121520176","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730626
P. Sahu, Rajiv Dey
This paper presents a low-pass filter based ripple correlation control (LPF-RCC) maximum power point tracking (MPPT) in photovoltaic (PV) systems for high power applications. Ripple correlation control is a non-linear and accurate technique of MPPT, which inherently eliminates the steady state oscillations. With the proper tuning of filter coefficients and proportional integral (PI) controller parameters, RCC is able to suppress the transient oscillations effectively. Photovoltaic (PV) system equipped with the boost converter and RCC control strategy has been implemented for various solar irradiance levels at 25°C. This work proposes a low-pass filtered version of RCC with proper tuning of Proportional Controller (PI) to improve transient and tracking performance. Simulation results show that the proposed LPF -based RCC is very much effective in eliminating unwanted ripples from voltage, current and power outputs.
{"title":"Maximum Power Point Tracking for Photovoltaic Systems Using Ripple Correlation Control","authors":"P. Sahu, Rajiv Dey","doi":"10.1109/CAPS52117.2021.9730626","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730626","url":null,"abstract":"This paper presents a low-pass filter based ripple correlation control (LPF-RCC) maximum power point tracking (MPPT) in photovoltaic (PV) systems for high power applications. Ripple correlation control is a non-linear and accurate technique of MPPT, which inherently eliminates the steady state oscillations. With the proper tuning of filter coefficients and proportional integral (PI) controller parameters, RCC is able to suppress the transient oscillations effectively. Photovoltaic (PV) system equipped with the boost converter and RCC control strategy has been implemented for various solar irradiance levels at 25°C. This work proposes a low-pass filtered version of RCC with proper tuning of Proportional Controller (PI) to improve transient and tracking performance. Simulation results show that the proposed LPF -based RCC is very much effective in eliminating unwanted ripples from voltage, current and power outputs.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781853","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730507
Anirudha Barman
This paper demonstrates an investigation procedure to determine the optimum tilt angle for eight different regions of Bangladesh, a country of South Asia situated in the Northern Hemisphere. The work focuses on determining one tilt angle for each region for a whole year and finally finds out the suitable areas to accumulate more incident energy through installing photovoltaic panels that are tilted at an optimum angle. The simulation outcome observation also shows that the energy accumulation increases because of the optimization of the tilt angle of photovoltaic panels. From the result analysis, the paper observed that location-wise the optimum tilt angle varies from 25.57° to 22.10°. Moreover, the study also finds out that the Southern Region of Bangladesh is more suitable to install building-integrated photovoltaic tilting the solar panels at an optimized angle because the tilted photovoltaic panels in the Southern region can harness almost 9% −10% more energy than Northern Region.
{"title":"Tilt Angle Estimation for Building Integrated Photo-voltaics - An Investigative Study","authors":"Anirudha Barman","doi":"10.1109/CAPS52117.2021.9730507","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730507","url":null,"abstract":"This paper demonstrates an investigation procedure to determine the optimum tilt angle for eight different regions of Bangladesh, a country of South Asia situated in the Northern Hemisphere. The work focuses on determining one tilt angle for each region for a whole year and finally finds out the suitable areas to accumulate more incident energy through installing photovoltaic panels that are tilted at an optimum angle. The simulation outcome observation also shows that the energy accumulation increases because of the optimization of the tilt angle of photovoltaic panels. From the result analysis, the paper observed that location-wise the optimum tilt angle varies from 25.57° to 22.10°. Moreover, the study also finds out that the Southern Region of Bangladesh is more suitable to install building-integrated photovoltaic tilting the solar panels at an optimized angle because the tilted photovoltaic panels in the Southern region can harness almost 9% −10% more energy than Northern Region.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128487257","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730723
S. K. Khare, V. Bajaj
The advancement from new-born to old-age results in physical and psychological growth of human-being. The number of neurons also begins to die or become impaired with advancing age. These dying or impaired neurons result in declination for the generation of dopamine which is the prime reason for Parkinson's disease (PD). Though PD is incurable, early detection, proper diagnosis, and timely medication may help PD patients to perform their routine tasks. Electroencephalogram (EEG) signals are one such medium for automatic detection of PD. But the nature of EEG signals is complex, non-linear, and non-stationary making its analysis difficult. Therefore, this paper presents a computer-aided clinical decision support system (CACDSS). The CACDSS consists of automatic signal analysis and classification techniques combining automated variational mode decomposition (AOVMD) and automated extreme learning machine (AOELM) classifier. AOVMD selects the decomposition parameters adaptively using the arithmetic optimization algorithm by extracting representative modes and minimizing reconstruction error. The modes are further used to compute features which are fed to AOELM classifier to classify normal controls (NC) versus off medication PD EEG records (SFPD) and NC versus on medication PD EEG records (SOPD). The highest accuracy of 98.91% and 98.55% is obtained in classifying NC versus SOPD and NC versus SFPD, respectively.
{"title":"A CACDSS for automatic detection of Parkinson's disease using EEG signals","authors":"S. K. Khare, V. Bajaj","doi":"10.1109/CAPS52117.2021.9730723","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730723","url":null,"abstract":"The advancement from new-born to old-age results in physical and psychological growth of human-being. The number of neurons also begins to die or become impaired with advancing age. These dying or impaired neurons result in declination for the generation of dopamine which is the prime reason for Parkinson's disease (PD). Though PD is incurable, early detection, proper diagnosis, and timely medication may help PD patients to perform their routine tasks. Electroencephalogram (EEG) signals are one such medium for automatic detection of PD. But the nature of EEG signals is complex, non-linear, and non-stationary making its analysis difficult. Therefore, this paper presents a computer-aided clinical decision support system (CACDSS). The CACDSS consists of automatic signal analysis and classification techniques combining automated variational mode decomposition (AOVMD) and automated extreme learning machine (AOELM) classifier. AOVMD selects the decomposition parameters adaptively using the arithmetic optimization algorithm by extracting representative modes and minimizing reconstruction error. The modes are further used to compute features which are fed to AOELM classifier to classify normal controls (NC) versus off medication PD EEG records (SFPD) and NC versus on medication PD EEG records (SOPD). The highest accuracy of 98.91% and 98.55% is obtained in classifying NC versus SOPD and NC versus SFPD, respectively.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131407394","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730689
Syeda Pealy, M. Matin
As the smart grid operation and management must use both information and communication technology, it is surely immune to different types of physical and cyber-attacks. Even sometimes, it becomes difficult to compete with those attacks. On the other hand, the energy theft problem is acute mostly in developing and underdeveloped countries. This paper mainly focuses on energy theft detection and control from Smart Meter and provides a framework to the utility companies to determine illegal connections and take necessary actions.
{"title":"Tackling Energy Theft in Smart Grid-A Comprehensive Review and Framework","authors":"Syeda Pealy, M. Matin","doi":"10.1109/CAPS52117.2021.9730689","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730689","url":null,"abstract":"As the smart grid operation and management must use both information and communication technology, it is surely immune to different types of physical and cyber-attacks. Even sometimes, it becomes difficult to compete with those attacks. On the other hand, the energy theft problem is acute mostly in developing and underdeveloped countries. This paper mainly focuses on energy theft detection and control from Smart Meter and provides a framework to the utility companies to determine illegal connections and take necessary actions.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649982","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730674
A. A. Ansari, Giribabu Dyanamina
In the wind power industry, variable speed generators are more prevalent than fixed speed generators as they can collect a higher amount of energy from wind. As of now, Doubly Fed Induction variable speed Generator (DFIG) technology is the most widely accepted technology in the wind energy sector. The significant problem in DFIG-fed wind energy system (WES) is its incompetency when grid voltage falls due to external short circuit failures. Crowbar protection is perhaps the most common method for DFIG to ride through short-duration faults, however alternative solutions have been discussed in the literature. The primary objective of this paper is to compare the performance of the crowbar and the series dynamic braking resistor installed on the DFIG's rotor side at fault operations. The findings for this analysis were obtained using MATLAB/Simulink. The simulation findings indicate that both techniques protect the DFIG efficiently, although the later design is superior and improves the DFIG's performance during faults or voltage drops.
{"title":"MATLAB Simulation of FRT Techniques for DFIG-based Wind Farms","authors":"A. A. Ansari, Giribabu Dyanamina","doi":"10.1109/CAPS52117.2021.9730674","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730674","url":null,"abstract":"In the wind power industry, variable speed generators are more prevalent than fixed speed generators as they can collect a higher amount of energy from wind. As of now, Doubly Fed Induction variable speed Generator (DFIG) technology is the most widely accepted technology in the wind energy sector. The significant problem in DFIG-fed wind energy system (WES) is its incompetency when grid voltage falls due to external short circuit failures. Crowbar protection is perhaps the most common method for DFIG to ride through short-duration faults, however alternative solutions have been discussed in the literature. The primary objective of this paper is to compare the performance of the crowbar and the series dynamic braking resistor installed on the DFIG's rotor side at fault operations. The findings for this analysis were obtained using MATLAB/Simulink. The simulation findings indicate that both techniques protect the DFIG efficiently, although the later design is superior and improves the DFIG's performance during faults or voltage drops.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133038056","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730581
Krishna Mridha, Shah Md. Shihab Hasan
We have seen the intensive production of artificial information in the field of agriculture over the past two decades. The transformation from the use of simpler machine learning to the use of profound architectures can be observable in this era. As an agricultural region, India's economy relies on the production of agricultural yields and unified agricultural commodities. In India, agriculture is usually affected by erratic water. In addition, agricultural developments depend on many parameters of land, such as nitrogen, phosphorus, potassium, crop rotation, ground dampness, surface temperature, and atmosphere, including temperatures, rainfall, etc. Innovation would also allow farmers to increase crop profits and achieve greater respect for the rancher. The proposed undertaking answers Intelligent Agriculture to the survey of the farming sector, which can enable farmers to achieve extraordinary productivity expansion. The information obtained from the IMD (Indian Metrology Department) indicates that crops are appropriate to grow in a particular area, such as temperatures and soil rainfall, and soil parameters vault. This thesis provides an application focused on androids that use knowledge research techniques to predict the most useful crop under current weather and soil conditions, detection the leaf disease, predict the rainfall, and finally predict the soil lacks (fertilizer) elements. With the help of our proposed smartphone application, the agricultural sector will be entering the Artificial Intelligence Era.
{"title":"Artificial Intelligence (AI) for Agricultural Sector","authors":"Krishna Mridha, Shah Md. Shihab Hasan","doi":"10.1109/CAPS52117.2021.9730581","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730581","url":null,"abstract":"We have seen the intensive production of artificial information in the field of agriculture over the past two decades. The transformation from the use of simpler machine learning to the use of profound architectures can be observable in this era. As an agricultural region, India's economy relies on the production of agricultural yields and unified agricultural commodities. In India, agriculture is usually affected by erratic water. In addition, agricultural developments depend on many parameters of land, such as nitrogen, phosphorus, potassium, crop rotation, ground dampness, surface temperature, and atmosphere, including temperatures, rainfall, etc. Innovation would also allow farmers to increase crop profits and achieve greater respect for the rancher. The proposed undertaking answers Intelligent Agriculture to the survey of the farming sector, which can enable farmers to achieve extraordinary productivity expansion. The information obtained from the IMD (Indian Metrology Department) indicates that crops are appropriate to grow in a particular area, such as temperatures and soil rainfall, and soil parameters vault. This thesis provides an application focused on androids that use knowledge research techniques to predict the most useful crop under current weather and soil conditions, detection the leaf disease, predict the rainfall, and finally predict the soil lacks (fertilizer) elements. With the help of our proposed smartphone application, the agricultural sector will be entering the Artificial Intelligence Era.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388103","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730701
Ayush Kanojia, Sachin Agrawal, R. Lorenzo
The demand for low-power and energy-efficient computing devices is rising rapidly. One of the important fundamental components of these devices is an adder. Hence, its power consumption needs to be minimized. A 1-bit hybrid full adder employing transmission gates and complementary metal-oxide semiconductor logic is presented in this paper. It provides full swing outputs and consumes very low power in comparison with other presented designs. The layout design, simulation and performance measurement are done in 180 nm and 90 nm technology nodes. The reduction in total power consumption in 180 nm is found to be about 77% and, 89% in 90 nm. In addition, the power-delay product is reduced by 79% in the case of 180 nm and 87% in 90 nm. Furthermore, the area overhead of the proposed design is also less as compared to existing designs.
{"title":"Design Implementation of a Low-Power 16T 1-bit Hybrid Full Adder","authors":"Ayush Kanojia, Sachin Agrawal, R. Lorenzo","doi":"10.1109/CAPS52117.2021.9730701","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730701","url":null,"abstract":"The demand for low-power and energy-efficient computing devices is rising rapidly. One of the important fundamental components of these devices is an adder. Hence, its power consumption needs to be minimized. A 1-bit hybrid full adder employing transmission gates and complementary metal-oxide semiconductor logic is presented in this paper. It provides full swing outputs and consumes very low power in comparison with other presented designs. The layout design, simulation and performance measurement are done in 180 nm and 90 nm technology nodes. The reduction in total power consumption in 180 nm is found to be about 77% and, 89% in 90 nm. In addition, the power-delay product is reduced by 79% in the case of 180 nm and 87% in 90 nm. Furthermore, the area overhead of the proposed design is also less as compared to existing designs.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123195956","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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