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- 저자 : Agrawal, Sudhir (검색결과 310 건)
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Agrawal Khushabu,Patil Vilas,Ali Fida,Rabelo Matheus,우원종,조은철,Yi Junsin 한국물리학회 2021 Current Applied Physics Vol.26 No.-
The HF treatment removes the native oxide and lays behind the dangling bonds over the Si surface which causes the increment in density of interface traps (Dit) through the direct deposition of high-k dielectric on Si. Here, we propose the facile method for reduction of interface traps and improvement in barrier height with the (NH4)2S treatment on Al2O3/Si interfaces, which can be used as the base for the non-volatile memory device. The AFM was used to optimize the treatment time and surface properties, while XPS measurements were carried out to study the interface and extract the barrier height (ΦB). The short period of 20 s treatment shows the improvement in the barrier height (1.02 eV), while the one order reduction in the Dit (0.84 × 1012 cm2/eV) of sulfur passivated Al/Al2O3/Si MOS device. The results indicate the favorable passivation of the dangling bonds over the Si surfaces covered by sulfur atoms.
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Enhanced Startup Diagnostics of LCL Filter for an Active Front-End Converter
Agrawal, Neeraj,John, Vinod The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.5
The reliability of grid-connected inverters can be improved by algorithms capable of diagnosing faults in LCL filters. A fault diagnostic method during inverter startup is proposed. The proposed method can accurately generate and monitor information on the peak value and the location of the peak frequency component of the step response of a damped LCL filter. To identify faults, the proposed method compares the evaluated response with the response of a healthy higher-order damped LCL filter. The frequency components in the filter voltage response are first analytically obtained in closed form, which yields the expected trends for the filter faults. In the converter controller, the frequency components in the filter voltage response are computed using an appropriately designed fast Fourier transform and compared with healthy LCL response parameters using a finite state machine, which is used to sequence the proposed startup diagnostics. The performance of the proposed method is validated by comparing analytical results with the simulation and experimental results for a three-phase grid-connected inverter with a damped LCL filter.
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Agrawal Pankaj,Newbold Sally,Busaidi Ayisha Al,Kapoor Ritika R,Thomas Nick,Aylwin Simon JB,Buchanan Charles R,Arya Ved Bhushan 대한소아내분비학회 2022 Apem Vol.27 No.4
Pituitary apoplexy typically presents with acute headache, vomiting, visual disturbance, and confusion. Herein, we report a rare presentation of ischemic stroke due to pituitary apoplexy. A 16.5-year-old male presented with reduced Glasgow Coma Scale (GCS) score, slurred speech, right-sided hemiparesis, and bitemporal hemianopia. Magnetic resonance imaging of the brain showed a large hemorrhagic sellar/suprasellar mass and an area of cortical T2/FLAIR hyperintensity with corresponding diffusion restriction in the middle cerebral artery territory. Computed tomography (CT) intracranial angiogram showed luminal occlusion of the clinoid and ophthalmic segments of both internal carotid arteries (ICAs, left>right) due to mass pressure effect. Biochemical investigations confirmed hyperprolactinemia and multiple pituitary hormone deficiencies. Stress-dose hydrocortisone was commenced with cabergoline, followed by urgent endoscopic transsphenoidal debulking of the tumor (subsequent histology showing prolactinoma). Postoperative CT angiogram showed improved caliber of ICAs. Intensive neurorehabilitation was implemented and resulted in complete recovery of motor and cognitive deficits. At the last assessment (18.8 years), the patient remained on complete anterior pituitary hormone replacement without cabergoline. Pituitary apoplexy is a medical emergency requiring prompt recognition and treatment and should be suspected in patients presenting with sudden, severe headache; nausea; or visual disturbance and meningism. Ischemic stroke is a rare manifestation of pituitary apoplexy in the pediatric population.
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Wine Quality Classification with Multilayer Perceptron
Agrawal, Garima,Kang, Dae-Ki The Institute of Internet 2018 International Journal of Internet, Broadcasting an Vol.10 No.2
This paper is about wine quality classification with multilayer perceptron using the deep neural network. Wine complexity is an issue when predicting the quality. And the deep neural network is considered when using complex dataset. Wine Producers always aim high to get the highest possible quality. They are working on how to achieve the best results with minimum cost and efforts. Deep learning is the possible solution for them. It can help them to understand the pattern and predictions. Although there have been past researchers, which shows how artificial neural network or data mining can be used with different techniques, in this paper, rather not focusing on various techniques, we evaluate how a deep learning model predicts for the quality using two different activation functions. It will help wine producers to decide, how to lead their business with deep learning. Prediction performance could change tremendously with different models and techniques used. There are many factors, which, impact the quality of the wine. Therefore, it is a good idea to use best features for prediction. However, it could also be a good idea to test this dataset without separating these features. It means we use all features so that the system can consider all the feature. In the experiment, due to the limited data set and limited features provided, it was not possible for a system to choose the effective features.
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Rice proteomics: Ending phase I and the beginning of phase II
Agrawal, Ganesh Kumar,Jwa, Nam-Soo,Rakwal, Randeep WILEY-VCH Verlag 2009 Proteomics Vol.9 No.4
<P>Rice is a critically important food crop plant on our planet. It is also an excellent model plant for cereal crops, and now in position to serve as a reference plant for biofuel production. Proteomics study of rice therefore is crucial to better understand “rice” as a whole. Rice proteomics has moved well beyond the initial proteome analysis in the early to late 1990s. Since the year 2000, numerous proteomic studies have been performed in rice during growth and development and against a wide variety of environmental factors. These proteomic investigations have established the high-resolution 2-D reference gels of rice tissues, organs, and organelle under normal and adverse (stressed) conditions by optimizing suitable, reproducible systems for gel, and MS-based proteomic techniques, which “rejuvenated” the rice proteome field. This constituted the “phase I” in rice proteomics, and resulted in rice being labeled as the “cornerstone” of cereal food crop proteomes. Now, we are in position to state that rice proteomics today marks the “beginning of phase II”. This is due to the fact that rice researchers are capable of digging deeper into the rice proteome, mapping PTMs (in particular reversible protein phosphorylation), performing inter- and intra-species comparisons, integrating proteomics data with other “omic” technologies-generated data, and probing the functional aspect of individual proteins. These advancements and their impact on the future of rice proteomics are the focus of this review.</P>
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Agrawal Nishant,Iyer Shivakumar S,Patil Vishwanath,Kulkarni Sampada,Shah Jignesh N,Jedge Prashant 대한중환자의학회 2023 Acute and Critical Care Vol.38 No.2
Background This study aimed to determine the predictive power of the Full Outline of Unresponsiveness (FOUR) score and the Glasgow Coma Scale Pupil (GCS-P) score in determining outcomes for traumatic brain injury (TBI) patients. The Glasgow Outcome Scale (GOS) was used to evaluate patients at 1 month and 6 months after the injury. Methods We conducted a 15-month prospective observational study. It included 50 TBI patients admitted to the ICU who met our inclusion criteria. We used Pearson's correlation coefficient to relate coma scales and outcome measures. The predictive value of these scales was determined using the receiver operating characteristic (ROC) curve, calculating the area under the curve with a 99% confidence interval. All hypotheses were two-tailed, and significance was defined as P<0.01. Results In the present study, the GCS-P and FOUR scores among all patients on admission as well as in the subset of patients who were mechanically ventilated were statistically significant and strongly correlated with patient outcomes. The correlation coefficient of the GCS score compared to GCS-P and FOUR scores was higher and statistically significant. The areas under the ROC curve for the GCS, GCS-P, and FOUR scores and the number of computed tomography abnormalities were 0.912, 0.905, 0.937, and 0.324, respectively. Conclusions The GCS, GCS-P, and FOUR scores are all excellent predictors with a strong positive linear correlation with final outcome prediction. In particular, the GCS score has the best correlation with final outcome.
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Self Heating Effects in Sub-nm Scale FinFETs
Agrawal, Khushabu,Patil, Vilas,Yoon, Geonju,Park, Jinsu,Kim, Jaemin,Pae, Sangwoo,Kim, Jinseok,Cho, Eun-Chel,Junsin, Yi The Korean Institute of Electrical and Electronic 2020 전기전자재료학회논문지 Vol.33 No.2
Thermal effects in bulk and SOI FinFETs are briefly reviewed herein. Different techniques to measure these thermal effects are studied in detail. Self-heating effects show a strong dependency on geometrical parameters of the device, thereby affecting the reliability and performance of FinFETs. Mobility degradation leads to 7% higher current in bulk FinFETs than in SOI FinFETs. The lower thermal conductivity of SiO<sub>2</sub> and higher current densities due to a reduction in device dimensions are the potential reasons behind this degradation. A comparison of both bulk and SOI FinFETs shows that the thermal effects are more dominant in bulk FinFETs as they dissipate more heat because of their lower lattice temperature. However, these thermal effects can be minimized by integrating 2D materials along with high thermal conductive dielectrics into the FinFET device structure.
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Improved Mechanical Fault Identification of an Induction Motor Using Teager-Kaiser Energy Operator
Agrawal, Sudhir,Giri, V.K. The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.5
Induction motors are a workhorse for the industry. The condition monitoring and fault analysis are the main concern for the engineers. The bearing is one of the vital segment of the induction machine and the condition of the whole machine is decided based on the condition of the bearing. In the present paper, the vibration signal of the bearing has been used for the analysis. The first line of action is to perform a statistical analysis of the vibration signal which gives trends in signal. To get the location of a fault in the bearing the second action is to develop an index based on Wavelet Packet Transform node energy named as Bearing Damage Index (BDI). Further, Teager-Kaiser Energy Operator (TKEO) has been calculated from higher index value to get the envelope and finally Power Spectral Density (PSD) has been applied to identify the fault frequencies. A performance index has also been developed to compare the usefulness of the proposed method with other existing methods. The result shows that the strong amplitude of fault characteristics and its side bands help to decide the type of fault present in the recorded signal obtained from the bearing.
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