Pub Date : 2025-01-20DOI: 10.1109/TNANO.2025.3531937
Kajal Verma;Rishu Chaujar
This paper focuses on the device to circuit level assessment of Si/SiGe strained vertically stacked ferroelectric based FinFETs (VS-FeFinFETs) for improved reliability under the influence of interfacial trap charges (ITCs) at the semiconductor/oxide interface. The device is designed with the amalgamation of several advanced technologies such as SOI, strained tri-layered silicon channel system along with the integration of ferroelectric material in superior gate controlled FinFET. Gate engineering has also been incorporated to further improve the device's reliability against ITCs, forming hetero dielectric vertically stacked ferroelectric based FinFET (HD-VS-FeFinFET) and it is found to possess superior analog, linearity, and harmonic distortion performance. It shows 91.48% reduction in leakage current resulting in 13 times increment in switching ratio along with improvement in quality factor by 46.01%, transconductance by 32.77%, and device efficiency by 26.54% with negligible variations due to ITCs as compared to VS-FeFinFET. Various linearity and harmonic parameters also improved and showed negligible average variations like 4.72% (177.15% ) in VIP2 and 6.525% (25.3% ) in 1-dB compression point for HD-VS-FeFinFET (VS-FeFinFET) against different ITCs polarity making it more reliable for low power microwave and distortion less wireless communication applications. Further logic circuit application of HD-VS-FeFinFET based CMOS inverter has been analysed and it shows improvement by 17.9% in transition range, 51.674% in voltage gain along with ITCs induced average variation of 3.66% (15.88% ) in noise margin for HD-VS-FeFinFET(VS-FeFinFET) based circuit thus led to its development with enhanced functionality, reliability, and performance, poised to shape the landscape of modern electronics.
{"title":"Unveiling the Impact of Interfacial Trap Charges on Strained VS-FeFinFETs for Improved Reliability:Device to Circuit Level Assessment","authors":"Kajal Verma;Rishu Chaujar","doi":"10.1109/TNANO.2025.3531937","DOIUrl":"https://doi.org/10.1109/TNANO.2025.3531937","url":null,"abstract":"This paper focuses on the device to circuit level assessment of Si/SiGe strained vertically stacked ferroelectric based FinFETs (VS-FeFinFETs) for improved reliability under the influence of interfacial trap charges (ITCs) at the semiconductor/oxide interface. The device is designed with the amalgamation of several advanced technologies such as SOI, strained tri-layered silicon channel system along with the integration of ferroelectric material in superior gate controlled FinFET. Gate engineering has also been incorporated to further improve the device's reliability against ITCs, forming hetero dielectric vertically stacked ferroelectric based FinFET (HD-VS-FeFinFET) and it is found to possess superior analog, linearity, and harmonic distortion performance. It shows 91.48% reduction in leakage current resulting in 13 times increment in switching ratio along with improvement in quality factor by 46.01%, transconductance by 32.77%, and device efficiency by 26.54% with negligible variations due to ITCs as compared to VS-FeFinFET. Various linearity and harmonic parameters also improved and showed negligible average variations like 4.72% (177.15% ) in VIP2 and 6.525% (25.3% ) in 1-dB compression point for HD-VS-FeFinFET (VS-FeFinFET) against different ITCs polarity making it more reliable for low power microwave and distortion less wireless communication applications. Further logic circuit application of HD-VS-FeFinFET based CMOS inverter has been analysed and it shows improvement by 17.9% in transition range, 51.674% in voltage gain along with ITCs induced average variation of 3.66% (15.88% ) in noise margin for HD-VS-FeFinFET(VS-FeFinFET) based circuit thus led to its development with enhanced functionality, reliability, and performance, poised to shape the landscape of modern electronics.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"24 ","pages":"88-95"},"PeriodicalIF":2.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The accumulation of dust and dirt on solar photovoltaic (PV) panels, known as soiling, reduces energy generation and conversion efficiency of a PV plant. Therefore, regular cleaning is essential to maintain optimal plant performance and economic viability. Fixed-interval cleaning schedules become uneconomical during periods such as low-insolation, rainy, or cloudy events. This study proposes a data-driven method to estimate the soiling ratio (SR) for a 504-kWp rooftop PV plant in India using power, temperature, and irradiance data. A PV panel temperature estimation model is employed, based on ambient temperature and solar irradiance, which simplifies the process by eliminating the need for direct temperature measurements. The analysis reveals that regular cleaning is essential despite rainfall, with energy losses due to soiling ranging from 32% to 47% across inverters, with soiling rates of 4.6–5.5% per day. A dynamic cleaning schedule, considering weather and soiling conditions, was developed to reduce these losses. Economic evaluation demonstrated that manual cleaning following the proposed dynamic schedule is cost effective, with profit margins of 48–77%, comparing energy gain and cleaning cost. Compared with fixed-interval cleaning, the proposed method maintained the same average SR but yielded 25–49% higher profitability across inverters.
{"title":"Data-Driven Soiling Estimation and Optimized Cleaning Strategies for Industrial Rooftop PV Systems","authors":"Ankit Pal;Saravana Ilango Ganesan;Maddikara Jaya Bharata Reddy","doi":"10.1109/JPHOTOV.2025.3527124","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2025.3527124","url":null,"abstract":"The accumulation of dust and dirt on solar photovoltaic (PV) panels, known as soiling, reduces energy generation and conversion efficiency of a PV plant. Therefore, regular cleaning is essential to maintain optimal plant performance and economic viability. Fixed-interval cleaning schedules become uneconomical during periods such as low-insolation, rainy, or cloudy events. This study proposes a data-driven method to estimate the soiling ratio (SR) for a 504-kWp rooftop PV plant in India using power, temperature, and irradiance data. A PV panel temperature estimation model is employed, based on ambient temperature and solar irradiance, which simplifies the process by eliminating the need for direct temperature measurements. The analysis reveals that regular cleaning is essential despite rainfall, with energy losses due to soiling ranging from 32% to 47% across inverters, with soiling rates of 4.6–5.5% per day. A dynamic cleaning schedule, considering weather and soiling conditions, was developed to reduce these losses. Economic evaluation demonstrated that manual cleaning following the proposed dynamic schedule is cost effective, with profit margins of 48–77%, comparing energy gain and cleaning cost. Compared with fixed-interval cleaning, the proposed method maintained the same average SR but yielded 25–49% higher profitability across inverters.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"15 2","pages":"353-361"},"PeriodicalIF":2.5,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained transformer models for many applications. This paper studies the dependability and impact of soft errors on BERT implemented with different floating-point formats using two case studies: sentence emotion classification and question answering. Simulation by error injection is conducted to assess the impact of errors on different parts of the BERT model and different bits of the parameters. The analysis of the results leads to the following findings: 1) in both single and half precision, there is a Critical Bit (CB) on which errors significantly affect the performance of the model; 2) in single precision, errors on the CB may cause overflow in many cases, which leads to a fixed result regardless of the input; 3) in half precision, the errors do not cause overflow but they may still introduce a large accuracy loss. In general, the impact of errors is significantly larger in single-precision than half-precision parameters. Error propagation analysis is also considered to further study the effects of errors on different types of parameters and reveal the mitigation effects of the activation function and the intrinsic redundancy of BERT.
{"title":"On the Dependability of Bidirectional Encoder Representations from Transformers (BERT) to Soft Errors","authors":"Zhen Gao;Ziye Yin;Jingyan Wang;Rui Su;Jie Deng;Qiang Liu;Pedro Reviriego;Shanshan Liu;Fabrizio Lombardi","doi":"10.1109/TNANO.2025.3531721","DOIUrl":"https://doi.org/10.1109/TNANO.2025.3531721","url":null,"abstract":"Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained transformer models for many applications. This paper studies the dependability and impact of soft errors on BERT implemented with different floating-point formats using two case studies: sentence emotion classification and question answering. Simulation by error injection is conducted to assess the impact of errors on different parts of the BERT model and different bits of the parameters. The analysis of the results leads to the following findings: 1) in both single and half precision, there is a Critical Bit (CB) on which errors significantly affect the performance of the model; 2) in single precision, errors on the CB may cause overflow in many cases, which leads to a fixed result regardless of the input; 3) in half precision, the errors do not cause overflow but they may still introduce a large accuracy loss. In general, the impact of errors is significantly larger in single-precision than half-precision parameters. Error propagation analysis is also considered to further study the effects of errors on different types of parameters and reveal the mitigation effects of the activation function and the intrinsic redundancy of BERT.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"24 ","pages":"73-87"},"PeriodicalIF":2.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-20DOI: 10.1109/JSEN.2025.3525712
Yun Xiang;Kaihua Zhang;Tony Zhang;Zuohui Chen;Qi Xuan;Robert P. Dick
Camera-based inference techniques can be used to estimate $text {PM}_{{2.5}}$ concentrations in air based on the aggregate effects of particles on light scattering and absorption. These techniques can be spatially fine-grained, operate in real time, and substantially improve accuracy compared with particle counting sensors. However, existing camera-based techniques fail at night, when pollution exposure and production remain important. We describe the first vision-based technique for nighttime PM2.5 concentration estimation. The design approach differs substantially from that of daytime systems because the primary source of daytime information, the progression of color toward “airlight” color with increasing depth, is much less useful at night and the primary source of nighttime information, the glowing halation regions around artificial light sources, is insignificant during the day. We describe a nighttime pollution estimation technique that builds upon novel “illumination map (IM)” feature. We describe an IM-based dual-channel squeeze-and-excitation convolutional neural network (DSECNet) is to estimate PM2.5 concentrations. This method is evaluated on real-world data and images and outperforms the most advanced related existing (daytime) haze estimation methods, achieving a mean absolute error (MAE) of $8.65~mu text { g/m}^{{3}}$ , which is 16.99% lower than the state-of-the-art baseline method. To the best of the authors’ knowledge, this is the first vision-based nighttime nighttime PM2.5 estimation method.
{"title":"Halation-Based Nighttime PM2.5 Estimation","authors":"Yun Xiang;Kaihua Zhang;Tony Zhang;Zuohui Chen;Qi Xuan;Robert P. Dick","doi":"10.1109/JSEN.2025.3525712","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3525712","url":null,"abstract":"Camera-based inference techniques can be used to estimate <inline-formula> <tex-math>$text {PM}_{{2.5}}$ </tex-math></inline-formula> concentrations in air based on the aggregate effects of particles on light scattering and absorption. These techniques can be spatially fine-grained, operate in real time, and substantially improve accuracy compared with particle counting sensors. However, existing camera-based techniques fail at night, when pollution exposure and production remain important. We describe the first vision-based technique for nighttime PM2.5 concentration estimation. The design approach differs substantially from that of daytime systems because the primary source of daytime information, the progression of color toward “airlight” color with increasing depth, is much less useful at night and the primary source of nighttime information, the glowing halation regions around artificial light sources, is insignificant during the day. We describe a nighttime pollution estimation technique that builds upon novel “illumination map (IM)” feature. We describe an IM-based dual-channel squeeze-and-excitation convolutional neural network (DSECNet) is to estimate PM2.5 concentrations. This method is evaluated on real-world data and images and outperforms the most advanced related existing (daytime) haze estimation methods, achieving a mean absolute error (MAE) of <inline-formula> <tex-math>$8.65~mu text { g/m}^{{3}}$ </tex-math></inline-formula>, which is 16.99% lower than the state-of-the-art baseline method. To the best of the authors’ knowledge, this is the first vision-based nighttime nighttime PM2.5 estimation method.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 4","pages":"7015-7027"},"PeriodicalIF":4.3,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-20DOI: 10.1109/TPS.2025.3527373
Kamal M. Ahmed;A. H. Bekheit;M. M. Abdelrahman
In magnetic confinement reactors, the radial electric field and its shear are very important for edge transport barrier (ETB) formation and turbulence suppression. In the present work, a multifluid transport code, B2SOLPS5.02D, was used to model the radial distribution of plasma parameters (such as electron density, electron temperature, and ion velocity), radial electric field, and its shear in both cases with and without the ETB formation in small size divertor tokamak (SSDT) devices. The results demonstrated that the radial electric field in the ETB mode is similar to the neoclassical electric field near the separatrix. A toroidal rotation was observed in the co-current/counter-current directions in the discharge without/with the ETB, respectively. An intense radial electric field shear developed, resulting in a significant reduction in the transport coefficient. The ETB region appeared to be located between the maximum and minimum values of the radial electric field shear. Furthermore, the results demonstrated that the ETB width was proportional to the ion temperature and inversely proportional to the radial electric field shear. The impact of the radial electric field shear on the diffusion coefficient, plasma density, and ETB formation was investigated.
{"title":"Comparative Analysis of Radial Plasma Parameters and Electric Field Shear With and Without the Edge Transport Barrier Formation in SSDT Devices","authors":"Kamal M. Ahmed;A. H. Bekheit;M. M. Abdelrahman","doi":"10.1109/TPS.2025.3527373","DOIUrl":"https://doi.org/10.1109/TPS.2025.3527373","url":null,"abstract":"In magnetic confinement reactors, the radial electric field and its shear are very important for edge transport barrier (ETB) formation and turbulence suppression. In the present work, a multifluid transport code, B2SOLPS5.02D, was used to model the radial distribution of plasma parameters (such as electron density, electron temperature, and ion velocity), radial electric field, and its shear in both cases with and without the ETB formation in small size divertor tokamak (SSDT) devices. The results demonstrated that the radial electric field in the ETB mode is similar to the neoclassical electric field near the separatrix. A toroidal rotation was observed in the co-current/counter-current directions in the discharge without/with the ETB, respectively. An intense radial electric field shear developed, resulting in a significant reduction in the transport coefficient. The ETB region appeared to be located between the maximum and minimum values of the radial electric field shear. Furthermore, the results demonstrated that the ETB width was proportional to the ion temperature and inversely proportional to the radial electric field shear. The impact of the radial electric field shear on the diffusion coefficient, plasma density, and ETB formation was investigated.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 1","pages":"122-135"},"PeriodicalIF":1.3,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To suppress the backward wave oscillations in traveling wave tube (TWT) amplifiers, which are caused by the high gain of higher-order modes, mode selective folded waveguide (MSFW) is proposed as a slow wave structure (SWS). The MSFW consists of folded waveguide (FW) and mode selective circuit (MSC). Specifically, the MSC is made up of two segments of discontinuous rectangular waveguides. Consequently, the MSC can realize the suppression of the higher-order modes of the FW effectively and thus improve the performance of the FW-TWT. The simulation results show that the single-segment MSFW-TWT has a 3-dB bandwidth of 212.5–218.5 GHz, a saturated output power of more than 72 W, and a maximal gain of 39.59 dB. Meanwhile, the risk of the TWT’s backward wave oscillations is greatly reduced. As a result, the great potential of MSFW as a terahertz (THz) amplifier can be clearly seen from these results.
{"title":"A G-Band Traveling Wave Tube Based on Mode Selection Circuit for Suppressing Backward Wave Oscillation","authors":"Zechuan Wang;Zhigang Lu;Peng Gao;Li Qiu;Jingrui Duan;Zhanliang Wang;Shaomeng Wang;Yuan Zheng;Huarong Gong;Yubin Gong","doi":"10.1109/TPS.2024.3524420","DOIUrl":"https://doi.org/10.1109/TPS.2024.3524420","url":null,"abstract":"To suppress the backward wave oscillations in traveling wave tube (TWT) amplifiers, which are caused by the high gain of higher-order modes, mode selective folded waveguide (MSFW) is proposed as a slow wave structure (SWS). The MSFW consists of folded waveguide (FW) and mode selective circuit (MSC). Specifically, the MSC is made up of two segments of discontinuous rectangular waveguides. Consequently, the MSC can realize the suppression of the higher-order modes of the FW effectively and thus improve the performance of the FW-TWT. The simulation results show that the single-segment MSFW-TWT has a 3-dB bandwidth of 212.5–218.5 GHz, a saturated output power of more than 72 W, and a maximal gain of 39.59 dB. Meanwhile, the risk of the TWT’s backward wave oscillations is greatly reduced. As a result, the great potential of MSFW as a terahertz (THz) amplifier can be clearly seen from these results.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 1","pages":"146-152"},"PeriodicalIF":1.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-17DOI: 10.1109/TPS.2024.3522894
Pallabi Pathak;H. Bailung
Evolution of large-amplitude ion-acoustic shock in plasma containing electrons, $text {Ar}^{+}$ and $text {F}^{-}$ ions, has been investigated. As for the extremely high-amplitude shock wave in multicomponent plasma with negative ions, we achieved a density perturbation of ~70%, in contrast to the ~15% density perturbation observed in an electron-ion plasma. The numerical results of well-known Korteweg-de Vries (KdV)–Burger equation were employed in order to compare our exquisite observations. Furthermore, we explore the impact of enhanced Landau damping on the large-amplitude shocks in the plasma containing negative ions. The negative-to-positive ion density ratio is kept at approximately $r(=n_{-}{/}{n}_{+})sim 0.25$ .
{"title":"Investigation on Large-Amplitude Ion-Acoustic Shock in Negative Ion Plasma","authors":"Pallabi Pathak;H. Bailung","doi":"10.1109/TPS.2024.3522894","DOIUrl":"https://doi.org/10.1109/TPS.2024.3522894","url":null,"abstract":"Evolution of large-amplitude ion-acoustic shock in plasma containing electrons, <inline-formula> <tex-math>$text {Ar}^{+}$ </tex-math></inline-formula> and <inline-formula> <tex-math>$text {F}^{-}$ </tex-math></inline-formula> ions, has been investigated. As for the extremely high-amplitude shock wave in multicomponent plasma with negative ions, we achieved a density perturbation of ~70%, in contrast to the ~15% density perturbation observed in an electron-ion plasma. The numerical results of well-known Korteweg-de Vries (KdV)–Burger equation were employed in order to compare our exquisite observations. Furthermore, we explore the impact of enhanced Landau damping on the large-amplitude shocks in the plasma containing negative ions. The negative-to-positive ion density ratio is kept at approximately <inline-formula> <tex-math>$r(=n_{-}{/}{n}_{+})sim 0.25$ </tex-math></inline-formula>.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 1","pages":"3-11"},"PeriodicalIF":1.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-17DOI: 10.1109/TPS.2024.3522911
Yun-Sik Jin;Chuhyun Cho;Chae-Hwa Shon;Daejong Kim;Keekon Kang;Sung-Roc Jang
In the agricultural and food industries, there is an urgent need for large-capacity and high-efficiency plasma-activated water (PAW) production technology. Regarding this matter, we demonstrate the mass production of PAW with high efficiency based on reverse vortex flow (RVF) gliding arc (GA) plasma with an input power of 4 kW or higher. With the current system, the production capacity of the PAW with pH 3.0 is 1000 L/h for distilled water and 500 L/h for tap water. The amount of ${mathrm {NO}}_{3}^{-}$ ion in the PAW was 60 g/kWh, which is ten times higher than that of a dielectric barrier discharge (DBD) method. The produced PAW tends to show a higher acidity for a longer storage time.
{"title":"High-Efficiency Mass Production of Plasma Activated Water by the Gliding Arc Plasma","authors":"Yun-Sik Jin;Chuhyun Cho;Chae-Hwa Shon;Daejong Kim;Keekon Kang;Sung-Roc Jang","doi":"10.1109/TPS.2024.3522911","DOIUrl":"https://doi.org/10.1109/TPS.2024.3522911","url":null,"abstract":"In the agricultural and food industries, there is an urgent need for large-capacity and high-efficiency plasma-activated water (PAW) production technology. Regarding this matter, we demonstrate the mass production of PAW with high efficiency based on reverse vortex flow (RVF) gliding arc (GA) plasma with an input power of 4 kW or higher. With the current system, the production capacity of the PAW with pH 3.0 is 1000 L/h for distilled water and 500 L/h for tap water. The amount of <inline-formula> <tex-math>${mathrm {NO}}_{3}^{-}$ </tex-math></inline-formula> ion in the PAW was 60 g/kWh, which is ten times higher than that of a dielectric barrier discharge (DBD) method. The produced PAW tends to show a higher acidity for a longer storage time.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 1","pages":"34-39"},"PeriodicalIF":1.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this work, we present a contribution on the applicability of the recursive least squares method used for the parametric identification of a corona discharge phenomenon at small distances. Furthermore, we show the influence of the choice of the forgetting factor for a better performance of the identification operation and the quality of estimation of the identified parameters. The identification process is based on experimental input/output measurements. The validation of the parameter results is done by a physical analysis of the behaviors of these parameters and by comparing the output calculated according to these parameters, with the real output obtained experimentally. The results show that with a constant forgetting factor close to 1 ($lambda = 0.99$ ), parameter quality improves but output accuracy may vary. In contrast, a variable forgetting factor enhances both parameter quality and model output consistently. A good agreement observed between the real and calculated outputs confirms both the good choice of the forgetting factor and the precision of the estimated parameters as well as the validity of the identified model in general.
{"title":"Influence of the Forgetting Factor in the Recursive Least Squares RLS Algorithm on the Quality and Precision of the Identified Parameters in a DC Corona Discharge","authors":"Tahtah Abdelkarim;Raouti Driss;Olivier Eichwald;Lionel Vido;Nassour Kamel;Bouanane Abdelkrim","doi":"10.1109/TPS.2024.3524470","DOIUrl":"https://doi.org/10.1109/TPS.2024.3524470","url":null,"abstract":"In this work, we present a contribution on the applicability of the recursive least squares method used for the parametric identification of a corona discharge phenomenon at small distances. Furthermore, we show the influence of the choice of the forgetting factor for a better performance of the identification operation and the quality of estimation of the identified parameters. The identification process is based on experimental input/output measurements. The validation of the parameter results is done by a physical analysis of the behaviors of these parameters and by comparing the output calculated according to these parameters, with the real output obtained experimentally. The results show that with a constant forgetting factor close to 1 (<inline-formula> <tex-math>$lambda = 0.99$ </tex-math></inline-formula>), parameter quality improves but output accuracy may vary. In contrast, a variable forgetting factor enhances both parameter quality and model output consistently. A good agreement observed between the real and calculated outputs confirms both the good choice of the forgetting factor and the precision of the estimated parameters as well as the validity of the identified model in general.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 1","pages":"108-115"},"PeriodicalIF":1.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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