SUJATHA M
@kluniversity.in
Professor/ECE
koneru Lakshmaiah Education Foundation
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, General Engineering, Computer Networks and Communications, Earth and Planetary Sciences
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
AnandA Zanwar, C Manimurugan, M Sujatha, AL Rathnakumar, and M Sandhanalakshmi
Medknow
Seeds of flax or linseed (Linum usitatissimum L.) are important nutraceutical foods with antioxidant, anti-inflammatory, estrogenic, laxative, and antibacterial properties. Flaxseed oil and seeds are the richest vegetarian source of omega-3 fatty acids. Consumption of flaxseeds helps in prevention and control of cardiovascular disease, neurodegenerative disorders, obesity, diabetes mellitus, polycystic ovary syndrome, gout, liver and kidney dysfunction, oxidative stress-related diseases, post-menopausal symptoms, osteoporosis, irritable bowel syndrome, dry eye disease, cystic fibrosis, diarrhea, and cancer, particularly of the mammary and prostate gland cancer. Of late, flaxseed is gaining more importance not only because of its industrial values but also due to its nutraceutical and pharmaceutical properties. The literature review was performed using PubMed, Scopus, PubMed Central, Google Scholar, and Web of Science from 1995 onwards. Data was also obtained from websites/books/book chapters.
M. Sujatha, G. Suresh, T. B. Helan, and H. D. Pushpa
Springer Science and Business Media LLC
TPS Kumar Kusumanchi, R S Ernest Ravindran, K Jaya Sankar Krishna, B. Faruq Hussain, P. Divyasree, and M. Sujatha
IOP Publishing
Abstract The demand for electronic devices has increased due to continuous change in technology and its parameters. Low-Drop-Out [LDO] voltage regulator is utilised for power management and avoids unstable voltage in many electronicapplications.In this present investigation, a comprehensive characterization of a LDO in Complementary metal oxide semi-conductor technology [CMOS] is simulated using mentor graphics tool. The error amplifier of the low-drop-out voltage employed using 7 transistors for current mirroring technique. To manage the voltage differential, a pass transistor is created in a similar way utilising PMOS. Resistors and capacitors are passive components used in feedback network circuits and to reduce output voltage volatility, respectively. The suggested circuit achieves 140 mV of dropout voltage with a constant voltage of 1.6 V with a supply voltage range of 2 to 4.2 V and 4.16 mW of power consumption..
Gayathri Rajakumaran, Shola Usharani, Christie Vincent, and M Sujatha
IOP Publishing
Abstract In the digitized era, the role of smart mechanisms plays a vital role and one among them is the segregation of waste. To make use of proper disposal and waste management techniques, the segregation of wastes is essential. In the existing systems, drones are used for identifying waste using image processing, and deep learning and use GPS, and GSM methods to identify and send locations to the authorities. The enhancement achieved is to analyze and implement waste segregation with the help of image classification and multi-object detection. Waste management may therefore be done more efficiently with an accuracy of 95% with a mean average of 87.4% which in turn helps significantly to reduce labor costs.
Shrinkhla Maurya, Bhumika Sharma, Kajal Thakur, Suman Rawte, Nirmala Bharti Patel, Rajani Bisen, S. Rajkumar, Zenu Jha, and M. Sujatha
Springer Science and Business Media LLC
M. Y. Dudhe, M. V. Jadhav, M. Sujatha, H. P. Meena, A. B. Rajguru, S. J. Gahukar, and M. K. Ghodke
Springer Science and Business Media LLC
Davuluri Jahnavi, Dasetty Lavanya, and M. Sujatha
Springer Nature Singapore
K. Ajithkumar, A. S. Savitha, S. Mahadevakumar, M. Sujatha, S. S. N. Maharachchikumbura, M. Y. Sreenivasa, M. Renuka, and S. T. Yenjerappa
Scientific Societies
Cluster bean (Cyamopsis tetragonoloba (L.) Taub.) is an important vegetable crop cultivated widely in India. During a field survey in November 2021, about 60% of plants exhibited characteristic powdery mildew disease symptoms and signs in a 15 ha field in Northern Karnataka (Raichur), India. Initially, the symptoms and signs appeared as tan lesions, which later became small, circular and chlorotic. The abaxial surface turned yellow and was covered with white mycelial growth. As the disease progressed, white mycelia grew on the adaxial leaf surface, stems and pods as well. In severe infections, drying and premature defoliation of infected leaves were observed. Infected leaf samples with mycelia were collected (n=8) and the fungus was subjected to morphological and molecular observations. Mycelia on leaves was characterized as epiphytic, amphigenous, producing dense, white patches on the upper and lower leaf surfaces, stem and young pods. Hyphae were hyaline, thin-walled, 1.8 to 4.2 µm wide with erect conidiophores consisting of a cylindrical foot-cell, straight flexuous at the base and measured 20 to 36 × 6 to 9 μm (n=30), followed by 1 to 2 shorter cells. Ellipsoid conidia were produced singly and measured 28 to 42 × 12 to 20 μm (n=30) without fibrosin bodies. Chasmothecia were not observed. A reference specimen was deposited at the Institution of Excellence, University of Mysore Herbarium (UOM-IOE 2022_1). The morphology and other characteristics of conidia were consistent with an Erysiphe species (Braun and Cook 2012). Genomic DNA was isolated from a conidial suspension harvested from the powdery mildew affected cluster bean samples. The ITS region was amplified from three samples using powdery mildew-specific primer pair PN23/PN34 and sequenced directly (Chen et al. 2008). nBLAST analysis revealed that the ITS sequence shared 100% similarity with the reference sequence (E. diffusa vouchers HMJAU02177 - KM260363, BRIP 71013 - MW009058) of Erysiphe diffusa (Cooke & Peck) U. Braun & S. Takam. In addition to 100% match to voucher specimens of E. diffusa, there were no vouchers from other species that also had 100% match. The representative sequences were deposited in GenBank with accession numbers OM669776 - OM669778. Koch's postulates were conducted on healthy cluster bean plants grown under greenhouse conditions. Conidia were harvested from infected leaves, suspended in water and sprayed on 40 to 50-day-old cluster bean plants (28 ± 2°C and >70% relative humidity). The development of powdery mildew symptoms was recorded on 22 plants after 10-14 days of post inoculation. Control plants inoculated with sterile water remained healthy without powdery mildew symptoms. Microscopic observation of spores from inoculated plants confirmed the pathogen as E. diffusa. The genus Erysiphe is known to infect many crop plants. E. diffusa has been reported to infect Vigna radiata, Glycine max and Phaseolus mungo in Australia (Kelly et al. 2021). No reports are available at USDA's host-fungus database for cluster bean and E. diffusa (Farr and Rossman 2022). To the best of our knowledge, this is the first report of E. diffusa associated with powdery mildew of cluster bean in India. Further comprehensive investigations will shed a light on the economic impact of powdery mildew disease on the cluster bean in India.
Manmode Darpan Mohanrao, M. Sujatha, S. Vanisri, B. Vidya Sagar, Y. Rushwanth Reddy, K. Divya Sravanthi, and S. Senthilvel
The Indian Society of Genetics and Plant Breeding
Castor is an industrially important oilseed crop, which provides raw material to many industries. Despite its industrial importance, the genomic resources available for molecular breeding applications are limited. In the present study, a set of 135 SNP loci polymorphic between two castor inbred lines namely, JC-12 and RG-1963 were targeted to develop competitive allele specific PCR assays for genotyping purposes. The assays were validated in the F2 population of JC-12 × RG-1963 cross. Out of 135 assays designed, 124 were found to be successful in discriminating three expected genotypes in the F2 population. Using the SNP genotyping data, a genetic linkage map representing 10 haploid chromosomes of castor was constructed, which corresponded very well with the physical map. This set of validated SNP markers is a useful resource for application in molecular breeding of castor.
K. Ajithkumar, A. S. Savitha, S. Mahadevakumar, S. S. N. Maharachchikumbura, M. Y. Sreenivasa, A. L. Rathnakumar, and M. Sujatha
Scientific Societies
Linseed (Linum usitatissimum L.) is an important oil yielding crop cultivated widely in India. During the field survey, 2018-19 (Rabi season; January-February), characteristic powdery mildew disease symptoms were observed in around 90 hectares of linseed in Northern Karnataka (Agricultural Research Station, Raichur). The incidence of the disease was estimated, and it was found in the range up to 96 per cent. Initially, the symptoms were appeared as tan lesions, which later turned into small, circular chlorotic lesions and yellowing of the abaxial leaf surface with white fungal mycelial growth on the abaxial leaf surface. As the disease progress, white fungal mycelial growth was also noticed on the adaxial leaf surface. In severe infection, drying and premature defoliation of infected leaves was observed (Figure S1 A-D). A total of 12 samples were collected and subjected to morphological and molecular identification. Microscopic examination revealed the presence of conidia borne on conidiophores (simple, sometimes branched). Conidiophores were measured 83.17 - 116.45 µm (n=90). Conidia were single-celled, hyaline, dimorphic (pyriform and cylindrical), and 70.2 - 82.7μm × 15.1 - 26.3 μm (n=100) (Figure S1 E&F). A reference specimen was deposited at Agharkar Research Institute's (ARI) Ajrekar Mycological Herbarium (AMH 2015-07/AKC 2231-03/SKS/DKM). Since the conidial morphology and characters were very similar to Leveillula taurica the fungus was identified as L. taurica (Lév.) G. Arnaud. (Braun and Cook, 2012). Further, to confirm the identity based on ITS-rDNA barcoding, genomic DNA was isolated from conidial suspension harvested from powdery mildew affected linseed samples. ITS was amplified using powdery mildew-specific ITS universal primer pair PN23/PN34 and sequenced directly (Chen et al., 2008). The ITS regions were amplified at ~700bp. nBLAST analysis revealed that the ITS sequence shared 100% similarity with reference sequence AB045148.1 respectively. The representative sequences were deposited in GenBank with accession numbers OK036584 (LuLtR1) and OK036585 (LuLtR2). Further amplification of L1/L2 primer pair from ITS region were PCR amplified (Reddy et al., 2013) and an expected amplicon of 374bp was analyzed. Though, the ITS-rDNA and L1/L2 specific region analyzed, they are not specific exclusively to the L. taurica. However, combination of morphology and molecular sequence was used to confirm the identity. Further to prove Koch's postulates, pathogenicity tests were conducted on healthy linseed plants grown under greenhouse condition (28±2° C; >80% Relative Humidity). Conidia were harvested from infected leaves and the suspension was sprayed on 30 (40 days old) linseed plants. The development of powdery mildew symptoms was recorded on 22 plants 10 days after inoculation. Control plants inoculated with sterile water remained healthy, and no powdery mildew symptoms were observed. The identity was confirmed upon microscopic observation of spores from artificially inoculated plants, thus confirming the association. Leveillula taurica is known to cause powdery mildew on tomato, chilli and other crops. Amano (1986) and Saharan and Saharan (1994) reported the occurrence of L. taurica on linseed, however, no further details are available on the association, as well as molecular confirmation of L. taurica associated with linseed from India (Farr and Rossman, 2021). To the best of our knowledge, this is the first report of L. taurica associated with powdery mildew of linseed in India. Since it is the first confirmed record through molecular sequence analysis, it is important to know its geographical distribution and impact on linseed production to chalk the management strategies.
A. L. Rathnakumar and M. Sujatha
Springer International Publishing
H. H. Kumaraswamy, V. Dinesh Kumar, C. Lavanya, B. Ushakiran, S. Senthilvel, M. Sujatha, K. B. Durga Bhavani, Aravind Kumar Konda, G. Lakshmidevi, Ashraf Md. Ashfaq,et al.
Springer International Publishing
H. P. Meena, M. Sujatha, and A. Vishnuvardhan Reddy
Springer Nature Singapore
Praduman Yadav, K. Alivelu, G. D. Satish Kumar, and M. Sujatha
Current Science Association
To analyse the domestic consumption pattern of vegetable oils, ICAR-Indian Institute of Oilseeds Research, Hyderabad, undertook an online survey through Google forms. The survey aimed at generating estimates of average household monthly per capita consumption of vegetable oils, distribution based on urban or rural households, average consumption by income groups, most preferred type of oil and brand by consumers, crop-wise percentage of consumers, food habits and consumption of the same oil or multiple oils throughout the year. Results indicated that rural households consumed 15.6 kg of oil per person per annum, whereas urban households consumed 12.4 kg. Non-vegetarians (64%) consumed 14.2 kg of oil per person per annum, whereas vegetarians (36%) consumed 12.6 kg. Mustard oil was most preferred in the north (61%) and east (35%) zones of India, followed by sunflower oil. About 28% of people in the west zone consumed soybean oil, followed by mustard oil (25%) and sunflower (25%) oil. Sunflower oil (44%) was the most popular oil in the southern zone, followed by groundnut oil (29%). Total per capita consumption of oil, including other purposes, was 14.43 kg per annum.
K. Mariya Priyadarshini, R.S. Ernest Ravindran, M. Sujatha, and K.T.P.S. Kumar
Inderscience Publishers
Bikash Chandra Saha, Joshuva Arockia Dhanraj, M. Sujatha, R. Vallikannu, Mohana Alanazi, Ahmad Almadhor, Ravishankar Sathyamurthy, Kuma Gowwomsa Erko, and V. Sugumaran
Hindawi Limited
Renewable wind power is productive and feasible to manage the energy crisis and global warming. The wind turbine’s blades are the essential components. The dimension of wind turbine blades has been increased with blade sizes varying from approx. 25 m up to approx. 100 m or even greater with a specific purpose to increase energy efficiency. While wind turbine blades tend to be highly stressed by environmental conditions, the wind turbine blade must be constantly tested, inspected, and monitored for wind turbine blades safety monitoring. This research presents a methodology adaptation on machine learning technique for appropriate classification of different failure conditions on blade during turbine operation. Five defects were reported for the diagnosis study of defective wind turbine rotor blades, and the considered defects are blade crack, erosion, loose hub blade contact, angle twist, and blade bend. The statistical features have been drawn from the recorded vibration signals, and the important features was selected through J48 classifier. Eight tree-dependent classifiers were used to categorize the state of the rotor blades. Among the classifiers, the least absolute deviation tree performed better with the classification percentage of 90% ( Kappa statistics = 0.88 , MAE = 0.0362 , and RMSE = 0.1704 ) with a computational time of 0.06 s.
S. Prabu, B. Thiyaneswaran, M. Sujatha, C. Nalini, and Sujatha Rajkumar
Computers, Materials and Continua (Tech Science Press)
Mangesh Y. Dudhe, M. Sujatha, S. Sakhre, M. Ghodke, S. Neelima, V. Kulkarni, P. Yadav, A. Ranganatha and A. Reddy
EJPB, ISPB, CPBG - Tamil Nadu Agricultural University
The present research focuses on the identification of stable trait specific genetic resources across the five semiarid environments located in the four states of India. The study illustrated the existence of a wide range of variations for most of the characters among the sunflower genotypes, which provides opportunities for genetic gain through selection or hybridization. Genotype x Environment (G x E) interaction was significant for all traits except for days to 50 % flowering, maturity days and 100-seed weight which means different genotypes responded differently to environments for the rest of the traits. Based on per se performance across the locations GMU 296 and HOHAL 30 can be considered as high yielding and high oil content accessions. Based on biplot, stability and per se performance genotypes GMU 806, GMU 635, GMU 296, GMU 802 and check DRSF113, can be considered as a medium to high yielding with medium oil content and medium maturity genotypes across the environments and can be considered as an ideal genotype across semi-arid environments. Character association indicated that among the seven traits, seed yield per plant had a significant negative association with oil content. The traits 50 % flowering and maturity days fall under one group and showed the more or less similar type of pattern in the expression of the traits by heat map approach. Based on diversity analysis identified genotypes from the second cluster can be utilized for the development of high yielding, medium oil content and medium duration diverse gene pool in sunflower for semi-arid environments.
K. Sadaiah, G. Neelima, C. Rani, V. Rani, G. Madhuri, N. Nalini, M. Sujatha, V. Shankar, M. Kumar, C. Lavanya,et al.
EJPB, ISPB, CPBG - Tamil Nadu Agricultural University
Castor is an important non-edible oilseed crop having huge industrial and export potential. It is used as an efficient lubricant for high-speed engines and as an ingredient in several commodities. There is a critical need to identify or to improve the germplasm lines with desirable characters. In the present study, 82 germplasm lines were evaluated in augmented design to estimate the genetic parameters viz., PCV, GCV, heritability and genetic advance as per cent of mean, principal component analysis and correlation studies. Results showed that the difference between PCV and GCV was low indicating less impact of environment on trait expression. Heritability (broad sense) and genetic advance as per cent of mean values were high for all the traits thus role of additive gene action is found important in governing the traits. Cluster analysis studies revealed that all the genotypes were grouped into eight clusters and cluster VIII documented the highest mean values for hundred seed weight and plant yield. The entries PRC-2 and PCS-337 recorded higher hundred seed weights of 56.5 and 48.6 g, respectively and in turn higher yield. These lines can be utilized as parents in the hybrid development programme for yield improvement. Correlation studies revealed that plant yield showed a significant positive association with all the characters except for days to 50% flowering. Thus selection for these traits viz., primary spike length, effective primary spike length, the number of effective spikes per plant, the number of capsules per spike and hundred seed weight will be advantageous in attaining higher yields.
P. Thamizhazhagan, M. Sujatha, S. Umadevi, K. Priyadarshini, Velmurugan Subbiah Parvathy, Irina V. Pustokhina, and Denis A. Pustokhin
Computers, Materials and Continua (Tech Science Press)
: There is a paradigm shift happening in automotive industry towards electric vehicles as environment and sustainability issues gained momentum in the recent years among potential users. Connected and Autonomous Electric Vehicle (CAEV) technologies are fascinating the automakers and inducing them to manufacture connected autonomous vehicles with self-driving features such as autopilot and self-parking. Therefore, Traffic Flow Prediction (TFP) is identified as a major issue in CAEV technologies which needs to be addressed with the help of Deep Learning (DL) techniques. In this view, the current research paper presents an artificial intelligence-based parallel autoencoder for TFP, abbreviated as AIPAE-TFP model in CAEV. The presented model involves two major processes namely, feature engineering and TFP. In feature engineering process, there are multiple stages involved such as feature construction, feature selection, and feature extraction. In addition to the above, a Support Vector Data Description (SVDD) model is also used in the filtration of anomaly points and smoothen the raw data. Finally, AIPAE model is applied to determine the predictive values of traffic flow. In order to illustrate the proficiency of the model’s predictive outcomes, a set of simulations was performed and the results were investigated under distinct aspects. The experimentation outcomes verified the effectual performance of the proposed AIPAE-TFP model over other methods.
Raja Krishnamoorthy, D. Venugopal, M. Sujatha, Sudhakar Sengan, C. Bharatiraja, and T. Jayasankar
Elsevier BV
Raja Krishnamoorthy, T. Jayasankar, M .Sujatha, N.B. Prakash, and C. Bharatiraja
Elsevier BV
Mohd Ashraf Ashfaq, V Dinesh Kumar, P Soma Sekhar Reddy, Ch Anil Kumar, K Sai Kumar, N Narasimha Rao, M Tarakeswari, and M Sujatha
Springer Science and Business Media LLC