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Examination and modification of equivalent delamination factor for assessment of high speed drilling
J. Babu,Nevin Paul Alex,Keerthy P. Mohan,Jose Philip,J. P. Davim 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.11
Composite components suffer delamination at the entrance and exit of drilled holes. Many measures have been suggested by different researchers to assess such delamination damage. These include delamination factor, two-dimensional delamination factor, damage ratio, adjusted delamination factor, refined delamination factor, equivalent delamination factor, and minimum delamination factor. Among all these various assessment factors, the equivalent delamination factor looks simple and able to take into account the different features of delamination. However, the method of calculation of the equivalent delamination factor may not provide accurate values for delamination resulting from high speed drilling. The aim of this paper is to evaluate the equivalent delamination factor in high speed drilling of a composite laminate using a twist drill and develop a new approach to determine equivalent delamination factor which can be used for both conventional and high speed drilling conditions. This new method is applied to calculate the equivalent delamination factor in trials of drilling composite specimens at different speeds and feed rates and is found suitable.
Bharathkumar, Hanumantharayappa,Mohan, Chakrabhavi Dhananjaya,Rangappa, Shobith,Kang, Taehee,Keerthy, H. K.,Fuchs, Julian E.,Kwon, Nam Hoon,Bender, Andreas,Kim, Sunghoon,Basappa,Rangappa, Kanchugarako The Royal Society of Chemistry 2015 Organic & Biomolecular Chemistry Vol.13 No.36
<P>Elevated activity of methionyl-tRNA synthetase (MRS) in many cancers renders it a possible drug target in this disease area, as well as in a series of parasitic diseases. In the present work, we report the synthesis and <I>in vitro</I> screening of a library of 1,3-oxazines, benzoxazines and quinoline scaffolds against human MRS. Among the compounds tested, 2-(2-butyl-4-chloro-1-(4-phenoxybenzyl)-1<I>H</I>-imidazol-5-yl)-5-(4-methoxyphenyl)-1-oxa-3-azaspiro[5.5]undecane (compound <B>21</B>) and 2-(2-butyl-4-chloro-1-(4-nitrobenzyl)-1<I>H</I>-imidazol-5-yl)-2,4-dihydro-1<I>H</I>-benzo[<I>d</I>][1,3]oxazine (compound <B>8</B>) were found to be potent inhibitors of MRS. Additionally, these compounds significantly suppressed the proliferation of A549 and HCT116 cells with IC<SUB>50</SUB> values of 28.4, 17.7, 41.9, and 19.8 μM respectively. Molecular docking studies suggested that the ligand binding orientation overlaps with the original positions of both methionine and adenosine of MRS. This suggests the binding of compound <B>21</B> against MRS, which might lead the inhibitory activity towards cancer cells.</P> <P>Graphic Abstract</P><P>Elevated activity of methionyl-tRNA synthetase (MRS) in many cancers renders it a possible drug target in this disease area, as well as in a series of parasitic diseases. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c5ob00791g'> </P>
Keerthi Katam,Debraj Bhattacharyya 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.69 No.-
This study compares the performance of two different systems (i) immobilized microalgae and suspended activated sludge (System A) and (ii) suspended co-culture (System B) in simultaneous treatment and biofuel production from domestic wastewater at different HRTs. The System A showed higher lipid content and carbon, nitrogen and phosphorous removal (40, 88, 91, and 93%) than System B (16, 87, 58, and 80%). C18:0 and C18:1n9t are dominant fatty acids observed in System A and C16:0 and C18:1n9t in System B. The immobilization of microalgae exhibited more benefits than suspended co-culture in terms of treatment and biofuel production.
Keerthi Katam,Debraj Bhattacharyya,Satoshi Soda,Toshiyuki Shimizu 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.102 No.-
In this study, the efficiency of a trickling photo-bioreactor (TPBR), seeded with activated sludge andmicroalgae, was evaluated for domestic wastewater treatment. TPBR was operated completely on naturalaeration at 2-, 4-, and 6-h hydraulic retention time (HRT) with a 12:12 h light: dark cycle. The totalorganic carbon (TOC) and total nutrient (TN) removal were negatively affected by decreasing the HRTfrom 6 to 2 h. The TPBR was able to reduce TOC from 93 to 9 mg/L, TN from 34 to 18 mg/L, and phosphorusfrom 23.5 to 4 mg/L at 6-h HRT. The chlorophyll concentration (5 – 7 mg per liter of sponge volume)was observed to be highest in the middle of the reactor. Altogether, 106 organic micropollutants of differentclasses like pharmaceutical, personal care products, pesticides, herbicides, and fungicides weredetected in the influent wastewater sample. However, in the treated effluent, only 17 micropollutantswere detected at 6-h HRT. This shows that the algal-bacterial consortia are capable of removing micropollutantsfrom wastewater. The energy input was 0.06 kWh/kg COD removed which is much less than theconventional activated sludge processes. The results indicate that this novel system is capable of providinga sustainable wastewater treatment solution.
Computationally Efficient Nonlinear MPC for Discrete System with Disturbances
Keerthi Chacko,Janardhanan Sivaramakrishnan,Indra Narayan Kar 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.6
Nonlinear Model Predictive Controller (NMPC) is intensive in online computation. We propose an efficient formulation for reducing its computational requirements. The proposed algorithm avoids stability-related terminal costs, constraints, and varies the prediction horizon after a simple check. Further, we use a condition based on negative contraction to handle undesirable effects of disturbance on the algorithm. The stability analysis for the proposed algorithm in a Monotonically weighted NMPC framework without stability related constraints is derived. Simulation and experimental validation on benchmark systems illustrate a significant reduction in the average computation time compared to the Monotonically Weighted NMPC without much loss in performance.
Clinical photoacoustic imaging of cancer
Keerthi S. Valluru,Juergen K. Willmann 대한초음파의학회 2016 ULTRASONOGRAPHY Vol.35 No.4
Photoacoustic imaging is a hybrid technique that shines laser light on tissue and measures optically induced ultrasound signal. There is growing interest in the clinical community over this new technique and its possible clinical applications. One of the most prominent features of photoacoustic imaging is its ability to characterize tissue, leveraging differences in the optical absorption of underlying tissue components such as hemoglobin, lipids, melanin, collagen and water among many others. In this review, the state-of-the-art photoacoustic imaging techniques and some of the key outcomes pertaining to different cancer applications in the clinic are presented.
( G. Keerthi ),( Dr. M. S. Abirami ) 한국감성과학회 2021 추계학술대회 Vol.2021 No.0
Diabetes is a leading reason of death, disability, and economic loss around the world. Type 2 diabetes is the maximum shared kind of diabetes in women (80-90 percent worldwide).It can be avoided or postponed by receiving the appropriate maintenance and interventions, including an initial diagnosis. There has remained a lot of progress in the area of medical diagnosis using many machine learning algorithms. However, due to incomplete medical data sets, accuracy suffers, resulting in a higher frequency of misclassifications, which might lead to dangerous complications. Many researchers find that accurately predicting and diagnosing a disease is a difficult scientific topic. As a result, the goal was to improve the diagnostic. The first technique is to collect the dataset, which comprises of 769 pregnant women's records. On the foundation of accuracy, machine learning approaches are utilized to forecast diabetes and non-diabetes women. We used seven machine learning algorithms to calculate diabetes using the dataset. We discovered that a diabetes prediction model that combines Linear Regression and Support Vector Machine performs well, with an accuracy of 77 percent -78 percent.
CNN based classifi cation of motor imaginary using variational mode decomposed EEG-spectrum image
K. Keerthi Krishnan,K. P. Soman 대한의용생체공학회 2021 Biomedical Engineering Letters (BMEL) Vol.11 No.3
A novel approach of preprocessing EEG signals by generating spectrum image for eff ective Convolutional Neural Network(CNN) based classifi cation for Motor Imaginary (MI) recognition is proposed. The approach involves extracting the VariationalMode Decomposition (VMD) modes of EEG signals, from which the Short Time Fourier Transform (STFT) of allthe modes are arranged to form EEG spectrum images. The EEG spectrum images generated are provided as input image toCNN. The two generic CNN architectures for MI classifi cation (EEGNet and DeepConvNet) and the architectures for patternrecognition (AlexNet and LeNet) are used in this study. Among the four architectures, EEGNet provides average accuracies of91.37%, 94.41%, 85.67% and 90.21% for the four datasets used to validate the proposed approach. Consistently better resultsin comparison with results in recent literature demonstrate that the EEG spectrum image generation using VMD-STFT is apromising method for the time frequency analysis of EEG signals.
B. Keerthi Priya,D. Akhila Reddy,Wasim Ghder Soliman,A. Daisy Rani,D. V. Rama Koti Reddy,Wasim Ghder Soliman 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.12
In this paper, a hybrid stepper motor (HSM) model, open-loop control and closed-loop control are explained. To overcome the stepping nature of the HSM open-loop configuration, the closed-loop control is an essential task and is obtained with the help of the HSM mathematical model. Effective closed-loop control strategies are performed based on the field oriented control (FOC) after performing a Park transform. Those strategies are optimized PI controller and optimized gain scheduling PI controller in which the controller’s parameters are tuned optimally using a particle swarm optimization algorithm (PSO) with the integral absolute error (IAE), integral time absolute error (ITAE), and integral time square error (ITSE) performance indexes mean value as an objective function. Additionally, operation under no-load and loaded conditions are tested and compared with the traditional PI controller. The obtained results show that, under loaded conditions, the optimized gain scheduling PI controller gives better performance due to its adaptive nature.