- K. Kaustubh
- K. Kandle Rutuja
- J. Vilas
- K. Kaustub
- T. Manisha
- G. Mangala
- S. Arulraj
- P. Kalidas
- P. Jagatheeswari
- P. Jeyaprabhu
- K. Ramana
- A. Rama Mohana Reddy
- M. Subba Rao
- S. Fahimuddin
- U. Purushotham
- N. Kumarappan
- L. Satyanarayana
- S. V. Naidu
- M. Narasimha Rao
- Alok Kumar
- G. Sugunadevi
- S. Manoharan
- M. A. Vijayaanand
- K. Rajalingam
- M. Arokia Vijaya Anand
- S. P. Meharunnisa
- M. Ravishanakr
- M. Chandra Surya Rao
- B. N. Rao
- V. Vijaya Bhaskar
- D. V. Swamy
- Arup Roy Chowdhury
- Vishnukumar D. Patel
- S. R. Joshi
- A. S. Arya
- Ankush Kumar
- Sukamal Paul
- Dhrupesh Shah
- Pradeep Soni
- J. C. Karelia
- Minal Sampat
- Satish Sharma
- Sandip Somani
- H. V. Bhagat
- Jitendra Sharma
- Amitabh
- R. P. Rajasekhar
- B. B. Bokarwadia
- Mukesh Kumar
- D. N. Ghonia
- S. Karthikeyan
- A. Manikandan
- S. Bhuvanesh
- B. Krishna Devan
- The Indian Practitioner
- Current Science
- Programmable Device Circuits and Systems
- Networking and Communication Engineering
- Digital Signal Processing
- ICTACT Journal on Soft Computing
- Asian Journal of Research in Pharmaceutical Sciences
- Asian Journal of Research in Chemistry
- Toxicology International (Formerly Indian Journal of Toxicology)
- ICTACT Journal on Image and Video Processing
- International Journal of Agricultural Sciences
- ICTACT Journal on Microelectronics
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Suresh, K.
- Pre-Staining of Bacterial Cell Proteins as a Research and Diagnostic Tool
Authors
1 JJM Medical College, Davangere, Karnataka, IN
2 Microbiology, Immunochemistry Division, Dr. V. M. Govt. Medical College, Solapur, IN
3 Dr. V. M. Govt. Medical College, Solapur, IN
4 Govt. Medical College, Shrinagar, Pauri Garhwal, Uttarakhand, IN
Source
The Indian Practitioner, Vol 68, No 3 (2015), Pagination: 34-38Abstract
We hereby describe a novel method of electrophoretic analysis of bacterial cell proteins prestained with a new reactive dye Coomassie Brilliant blue R-250 (CBB). The proposed method was standardised by studying as many as 950 disc electrophoretic separations, 50 variables, 60 isolates of Salmonella typhi and two standard NCTC S. typhi control strains. Under the critical conditions the cell free extract (CFE) of Salmonella and the soluble dye (8.5 mg/1 ml), Tris-glycine buffer (1:10), pH 8.3 was mixed in equal proportions, conjugate warmed at 41°C for 2 hours to ensure a stable covalent binding. 100 microlitre of this conjugated CFE was analysed by Polyacrylamide gel disc electrophoresis (PADGE). The method when compared with the post electrophoretic staining by Amidoblack revealed that the prestained discs were intensely well defined with a transparent gel. The amidoblack stained gel even with prolonged destaining showed a residual dye retention making identification of the faint components difficult. Proteins eluted from CBB-prestained gels retained its immunoreactivity, immunogenecity, purity and conjugates of Salmonella cell protein (mol. Wt. 69000) produced high titre monospecific antisera in immunised rabbit.- Aetiology, Mechanism, Management of Antibiotic Associated Diarrhoea and Role of Probiotics
Authors
1 190/191, Paparamnagar, Near Nutan Prashala & Jr. College, Solapur 413004 Maharashtra, IN
Source
The Indian Practitioner, Vol 66, No 4 (2013), Pagination: 220-230Abstract
With the increasing use of antibiotics, self medication and easy availability of antibiotics over the counter, the number of potential victims of Antibiotic associated diarrhoeas (AAD), either in its mild form or serious sometimes fatal disorder may be a force to reckon with. Understanding the pathogenesis, high risk factors and means of prevention may help us rto avert or effectively treat this disorder. Antibiotic associated diarrhoea is caused by Clostridium difficile, Clostridium perfringens, Staphylococcus aureus, Klebaiella oxytoca, Candida spp and Salmonella spp. Nearly 25% AAD is caused by Clostridium difficile making it the commonest identified and treatable pathogen. Most mild cases of AAD are due to non-infectious causes which include reduced break down of primary bile acids and, allergic or toxic effects of antibiotic on intesrtinal mucosa and pharmacological effect on gut motility. The antibiotics most frequently associated with C. difficile associated diarrhoea are clindamycin, cephalosporin, ampicillin and amoxycillin. The most sensitive and specific diagnostic tesrt for C. difficile infection is tissue culture assay for cytotoxicity of toxin B. Commercial ELISA kits are available. Most of the times, discontinuation of the inciting antibiotic along with enteric precautions and isolation to prevent its spread, is sufficient. However at times, treatment with antibiotics like metronidazole, vancomycin may be required. Relapses may occur which may require re-therapy with metronidazole/vancomycin, or at times treatment with anion binding resins and probiotics. Probiotics have been shown to have a role in the prevention of AAD {recurrent cases}. In recent years, AAD has been increasing in frequency and severity due to the emergence of virulent strains.Keywords
Anrtibotic Associated Diarrhoea, Probiotics.- Way Forward for Oil Palm Research and Development in India
Authors
1 Directorate of Oil Palm Research, Pedavegi 534 450, IN
Source
Current Science, Vol 107, No 9 (2014), Pagination: 1371-1372Abstract
No Abstract.- Power Flow Control Using Distributed Flexible AC Transmission Systems
Authors
1 Department of EEE, Ponjesly College of Engineering, Nagercoil, IN
Source
Programmable Device Circuits and Systems, Vol 6, No 3 (2014), Pagination: 101-104Abstract
Distributed flexible AC transmission system (DFACTS) devices offer many potential benefits to power systems. This paper examines the impact of installing D-FACTS devices by studying the sensitivities of power system quantities such as voltage magnitude, voltage angle, bus power injections, line power flows, and real power losses with respect to line impedance. These sensitivities enable us to identify and develop appropriate applications for the use of D-FACTS devices for the enhanced operation and control of the grid. Specific applications of D-FACTS devices for line flow control, and voltage control are investigated.- Performance Analysis of Load Balancing Algorithms Using Qualitative Parameters:A Review
Authors
1 Department of Information Technology, Annamacharya Institute of Technology and Sciences, Rajampet, IN
2 Department of Computer Science and Engineering, Sri Venkateswara University, Tirupathi, IN
3 Department of Information Technology, Annamacharya Institute of Technology and Sciences, Rajampet, IN
4 Department of Electronics and Communication Engineering, Annamacharya Institute of Technology and Sciences, Rajampet, IN
Source
Networking and Communication Engineering, Vol 3, No 12 (2011), Pagination: 810-814Abstract
Load balancing algorithm tries to balance the total system load by transparently transferring the workload from heavily loaded nodes to lightly loaded nodes, to ensure good overall performance. In this paper the performance analysis of various load balancing algorithms based on different qualitative parameters, considering static and dynamic load balancing approaches are considered. The analysis indicates that these both types of algorithms can have advancements as well as weaknesses over each other. Decision of type of algorithm to be implemented will be based on type of parallel and distributed applications to solve. The main purpose of this paper is to help in design of new algorithms in future by exhaustive study of behavior and characteristics of various existing algorithms.Keywords
Load Balancing, Static Load Balancing, Dynamic Load Balancing, Workload.- Spectral Processing Methods for Degraded Speech Signal
Authors
1 Department of Electronics and Communication, Dayananda Sagar College of Engineering, Bangalore, 560078, IN
2 SDM Institute of Technology, Ujire, Dakshina Kannada, 574240, IN
Source
Digital Signal Processing, Vol 6, No 6 (2014), Pagination: 180-188Abstract
Assessment of clean speech from a noisy speech signal has been a research topic for a long time. This research finds its variety of applications, which includes the present mobile communication also. The most important outcome of this research is the improved quality and reduced listening effort in the presence of an interfering noise signal. In this paper the performance of various noise reduction techniques namely spectral subtraction, wavelet transforms, iterative subtraction, MMSE and Wiener filtering is done. This paper proposes a time-frequency estimator for enhancement of noisy speech signals in the discrete frequency transform domain. In the proposed method the estimation is based on modeling and filtering frequency components of noisy speech signal using Kalman filters. Experimental outcome show that the proposed method provides the better performance as compared to the other Spectral processing approaches.
Keywords
MMSE, Wiener, Autoregressive and Kalman Filter.- Binary Particle Swarm Optimization Approach for Random Generation Outage Maintenance Scheduling
Authors
1 Department of Electrical and Electronic Engineering, Sri Manakula Vinayagar Engineering College, IN
2 Department of Electrical Engineering, Annamalai University, IN
Source
ICTACT Journal on Soft Computing, Vol 3, No 2 (2013), Pagination: 478-484Abstract
This paper presents a methodology for maintenance scheduling (MS) of generators using binary particle swarm optimization (BPSO) based probabilistic approach. The objective of this paper is to reduce the loss of load probability (LOLP) for a power system. The capacity outage probability table (COPT) is the initial step in creating maintenance schedule using the probabilistic levelized risk method. This paper proposes BPSO method which is used to construct the COPT. In order to mitigate the effects of probabilistic levelized risk method, BPSO based probabilistic levelized risk method is embarked on a MS problem. In order to validate the effectiveness of the proposed algorithm, case study results for simple five unit system can accomplish a significant levelization in the reliability indices that make possible to evaluate system generation system adequacy in the MS horizon of the power system. The proposed method shows better performance compared with other optimization methods and conventional method with improved search performance.Keywords
Maintenance Scheduling, Probabilistic Levelized Risk Method, Binary Particle Swarm Optimization, Capacity Outage Probability Table.- The Estimation of Darunavir in Tablet Dosage form By RP-HPLC
Authors
1 Department of Pharmaceutical Chemistry, Omega College of Pharmacy, Edulabad, Ghatkesar, Ranga Reddy Dist., Hyderabad-500 034, IN
2 Centre for Biotechnology, Department of Chemical Engineering, College of Engineering (A), Andhra University, Vishakapatnam - 530003, IN
Source
Asian Journal of Research in Pharmaceutical Sciences, Vol 1, No 3 (2011), Pagination: 74-76Abstract
A simple, precise, rapid and accurate reverse phase HPLC method was developed for the estimation of Darunavir in tablet dosage form. A RP Inertsil ODS-3V C-18, 250x4.6 mm, 5m partical size, with mobile phase consisting of 0.02M Dipotassium hydrogen orthophosphate +0.02M Potassium Dihydrogen orthophosphatein in water and Acetonitrile in the ratio of 40:60 v/v was used. The flow rate was 1.0 ml/min and the effluents were monitored at 265 nm. The retention time was 5.859 min. The detector response was linear in the concentration of 80-240μg/ml. The respective linear regression equation being Y= 44076.08X +726603. The limit of detection and limit of quantification was 0.1μg and 0.3μg/ml respectively. The percentage assay of Darunavir was 98.58%. The method was validated by determining its accuracy, precision and system suitability.
The results of the study showed that the proposed RP-HPLC method is simple, rapid, precise and accurate, which is useful for the routine determination of Darunavir in bulk drug and in its pharmaceutical dosage form.
Keywords
Darunavir, RP-HPLC, Estimation, and Tablets.- Modifying Effects of Mosinone-A on Glycoconjugates Levels in 7, 12-Dimethyl Benz(A) Anthracene Induced Hamster Buccal Pouch Carcinogenesis
Authors
1 Dept. of Biochemistry and Biotechnology, Annamalai University, Annamalai Nagar-608002, IN
Source
Asian Journal of Research in Chemistry, Vol 3, No 2 (2010), Pagination: 459-463Abstract
The present study was designed to investigate the modifying effects of Mosinone-A on glycoconjugates (protein bound hexose, hexosamine, total sialic acid and fucose) levels in 7,12-dimethylbenz(a) anthracene (DMBA) induced hamster buccal pouch carcinogenesis 0.5% DMBA painting (three times per week) in hamster buccal pouches for 14 weeks resulted in the formation of well developed oral squamous cell carcinoma. We observed 100% tumor formation with marked abnormalities of glycoconjugates status in tumor bearing hamsters as compared to control animals. Oral administration of Mosinone-A at a dose of 2 mg/kg body weight, to DMBA painted hamsters on alternate days for 14 weeks, reduced the tumor formation as well as protected the levels of cell surface glycoconjugates in DMBA painted hamsters. The present study thus suggests that Mosinone-A has potent chemopreventive efficacy as well as protected the abnormalities on cell surface glycoconjugates during DMBA induced hamster buccal pouch carcinogenesis.Keywords
Oral Cancer, DMBA, Mosinone-A, Glycoconjugates.- Biochemical Profiling and Chemopreventive Activity of Phloretin on 7,12‑Dimethylbenz (A) Anthracene Induced Oral Carcinogenesis in Male Golden Syrian Hamsters
Authors
Source
Toxicology International (Formerly Indian Journal of Toxicology), Vol 21, No 2 (2014), Pagination: 179-185Abstract
Objectives: The present study was designed to examine the chemopreventive effects of phloretin against 7, 12‑dimethylbenz (a) anthracene (DMBA) induced buccal pouch carcinogenesis in male golden Syrian hamsters in order to discover resources to improve the traditional medicine. Materials and Methods: Hamsters were divided into four groups of 10 animals each. Group I was served as an untreated control. Group II hamsters were painted with 0.5% DMBA in liquid paraffin on the left buccal pouches three times a week for 14 weeks. Group III hamsters were orally administrated with phloretin at a dose of 40 mg/kg body Weight (b.wt) on days alternate to DMBA application. Group IV hamsters were orally administrated with phloretin alone and served as the drug control. The experiment was terminated at the end of fourteenth week. The experimental animal’s tumors were subjected into morphological examination and subsequently screened the pathological changes and estimate the activities of bi‑products of lipid peroxidation, antioxidants enzymes and phase I and II detoxification enzyme status. Results: In DMBA alone treated hamster showed increased levels of lipid peroxidation by products, leads to decreased levels of enzymatic and non‑enzymatic antioxidants status, activities of phase I and II detoxification enzyme status were altered. Normalized the neoplastic changes, decreased the levels of lipid by products, retain the antioxidants and restored the phase I and II enzymes were observed in phloretin administrated animals during DMBA induced oral carcinogenesis. Conclusion: Phloretin has possible chemopreventive role in which modulating the antioxidant and detoxification enzyme status, thereby retarding DMBA induced buccal pouch carcinogenesis.Keywords
Antioxidant, chemoprevention, 7,12-dimethylbenz (a) anthracene , lipid peroxidation, oral cancer, phloretin- Improvement in Detection Accuracy of Digital Mammogram Using Point Transform and Data Mining Technique
Authors
1 Department of Electronics and Instrumentation Engineering, Visvesvaraya Technological University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 9, No 1 (2018), Pagination: 1838-1843Abstract
Cancer is one of the dangerous diseases faced by humans. Every one out of 100 women is facing breast cancer. So, to overcome this huge ratio many researches are being carried out. Prevention is better than cure; this paper presents one such attempt of detecting breast cancer in the early stages. In proposed method exponential point transform is carried out for image enhancement and in preprocessing stage pectoral mass is removed from the mammogram image. As the next step we apply K-means algorithm and morphological processing to identify the infected region and removal of unwanted region. Finally, Decision Tree Data mining technique is used for classifying features to detect presence of tumor. Hence by this approach we get more accurate results. The experimental results gave an accuracy of 97.03 %.Keywords
Breast Cancer, Point Transform, K-means, Decision Tree Classifier.References
- Suhas Sapate and Sanjay Talbar, “An Overview of Pectoral Muscle Extraction Algorithms applies to Digital Mammograms”, Medical Imaging in Clinical Applications, pp. 19-54, 2016.
- Mussarat Yasmin, Muhammad Sharif and Sajjad Mohsin, “Survey Paper on Diagnosis of Breast Cancer using Image Processing Techniques”, Recent Journal of Recent Sciences, Vol. 2, No. 10, pp. 88-98, 2013.
- K. Ganesan et al., “Computer-Aided Breast Cancer Detection using Mammograms: A Review”, IEEE Reviews in Biomedical Engineering, Vol. 6, pp. 77-98, 2012.
- K. Hu, X. Gao and F. Li, “Detection of Suspicious Lesions by Adaptive Thresholding based on Multiresolution Analysis in Mammograms”, IEEE Transactions on Instrumentation and Measurement, Vol. 60, No. 2, pp. 462-472, 2011.
- B.N. Prathibha and V. Sadasivam, “Mammogram Analysis using SVM Classifier in combined Transforms Domain”, ICTACT Journal on Image and Video Processing, Vol. 01, No. 3, pp. 172-177, 2011.
- J Anitha, J Dinesh Peter and Immanuel Alex Pandian, “A Dual Stage Adaptive Thresholding (DuSAT) for Automatic Mass Detection in Mammograms”, Computer Methods and Medicine in Mammograms, Vol. 138, pp. 93-104, 2017.
- Aswini Kumar Mohanty, Manas Ranjan Senapathy, Swapnasikta Baberta and Saroj Kumar Lenka, “Texture based Features for Classification of Mammograms using Decision Tree”, Neural Computing and Applications, Vol. 23, No. 3-4, pp. 1011-1017, 2013.
- R.M. Haralick, K. Shanmugam and I.H. Dinstein, “Texture Features for Image Classification”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 3, No. 6, pp. 610-621, 1973.
- E. Walid and H. Hakim, “A New Cost Sensitive Decision Tree Method Application for Mammograms Classification”, International Journal of Computer Science and Network Security, Vol. 6, No. 11, pp. 130-138, 2006.
- K. Polat and S. Gunes, “A Novel Hybrid Intelligent Method based on C4.5 Decision Tree Classifier and One-Against-all Approach for Multi-Class Classification Problems”, Expert Systems with Applications, Vol. 36, No. 2, pp. 1587-1592, 2009.
- M. Hall-Beye, “GLCM Texture: A Tutorial v.2.7.1”, Available at: www.fp.ucalgary.ca/mhallbey/tutorial.htm, Accessed on 2004.
- Samir Kumar Bandypodhyay, “Formation of Homogeneous blocks for Segmentation of Mammograms”, International Journal of Engineering Science and Technology, Vol. 2, No. 12, pp. 7444-7448, 2010.
- Yufeng Zheng, “Breast Cancer Detection with Gabor Features from Digital Mammograms”, Algorithms, Vol. 3, No. 1, pp. 44-62, 2010.
- J. Abdul Jaleel, S. Salim and S. Archana, “Mammogram Mass Classification Based on Discrete Wavelet Transform Textural Features”, Proceedings of International Conference on Advances in Computing, Communications and Informatics, pp. 24-27, 2014.
- Washington W. Azevedo et al., “Fuzzy Morphological Extreme Learning Machines to Detect and Classify Masses in Mammograms”, Proceedings of IEEE International conference on Fuzzy Systems, pp. 1-6, 2015.
- M.E. Elamnna and Y.M. Kadah, “Implementation of Practical Computer Aided Diagnosis System for Classification of Masses in Digital Mammograms”, Proceedings of International Conference on Computing, Control, Networking, Electronics & Embedded Systems Engineering, pp. 7-13, 2015.
- Shen-Chuan Tai, Zih-Siou Chen and Wei-Ting Tsai, “An Automatic Mass Detection System in Mammograms Based on Complex Texture Features”, IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 2, pp. 618-627, 2014.
- Uma Ojha and Savitha Goel, “A Study on Prediction of Breast Cancer Recurrence using Data Mining Techniques”, Proceedings of 7th International Conference on Cloud Computing, Data Science Engineering, pp. 107-113, 2017.
- B. Shradhananda, B. Majhi and R. Dash, “Mammogram Classification using Two Dimensional Discrete Wavelet Transform and Grey Level Co-occurrence Matrix for Detection of Breast Cancer”, Neurocomputing, Vol. 154, pp. 1-14, 2014.
- Zhe Jiang, Shashi Shekhar, Xen Zhou, Joseph Knight and Jennifer Corcoran, “Focal-Test Based Spatial Decision Tree Learning”, IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 6, pp. 1547-1559, 2015.
- Ibrahim Mohamed Jaber Alamin, W. Jeberson and H K Bajaj “Improved Framework for Breast Cancer Detection using Hybrid Feature Extraction and FFNN”, International Journal of Advanced Research in Artificial Intelligence, Vol. 5, No. 8, pp. 1-6, 2016.
- Rodrigo Coelho Barros, Marcio Porto Basgalupp, Andre C.P.L.F. De Carvalho and Alex A. Freitas, “A Survey of Evolutionary Algorithms for Decision Tree Induction”, IEEE Transactions on Systems, Man, Cybernatics-Part C: Applications and Reviews, Vol. 42, No. 3, pp. 112-132, 2012.
- Jinshan Tang, Rangaraj M. Rangayyan, Issam EI Naqa and Yongyi Yang, “Computer-Aided Detection and Diagnosis of Breast Cancer with Mammography: Recent Advances”, IEEE Transactions on Information Technology in Biomedicine, Vol. 13, No. 2, pp. 236-251, 2009.
- S.P. Meharunnisa, K Suresh and M. Ravishankar, “Detection of Breast Masses in Digital Mammograms using SVM”, International Science Press, Vol. 8, No. 3, pp. 899-906, 2015.
- S.P. Meharunnisa and K Suresh, “Identification of Microcalcifications for Early Signs of Breast Cancer”, STM Journals, Vol. 4, No. 3, pp. 7-12, 2014.
- S.P. Meharunnisa, B. Amith and K Suresh, “Early Detection of Breast Cancer using Computer Aided Detection and Diagnosis Recent Advances”, International Journal of Engineering Research and Technology, Vol. 5, No. 3, pp. 43-51, 2015.
- S.P. Meharunnisa, B. Amith and K Suresh, “Detection and Classification of masses in Breast Cancer using Computer Aided Detection and Diagnosis”, International Journal for Research and Development in Technology, Vol. 3, No. 6, pp. 1-7, 2015.
- Xiang Zhong, Jingshan Li, Susan M. Ertl, Carol Hassemer, and Lauren Fiedler, “A System-Theoretic Approach to Modeling and Analysis of Mammography Testing Process”, IEEE Transactions On Systems, Man, and Cybernetics: Systems, Vol. 46, No. 1, pp. 126-138, 2016.
- Influence of Different Methods and Levels of Irrigation on Vegetative Growth and Yield of Oil Palm (Elaeis guineensis Jacq.)
Authors
1 Department of Horticulture, Dr. Y.S.R. Horticultural University, Venkataramannagudem, West Godavari (A.P.), IN
2 ICAR-Indian Institute of Oil Palm Research, Pedavegi, West Godavari (A.P.), IN
Source
International Journal of Agricultural Sciences, Vol 15, No 1 (2019), Pagination: 84-90Abstract
A field experiment with two methods and three levels of irrigation using crop factor was carried out on eighteen years old oil palm plantation at ICAR-Indian Institute of Oil Palm Research, Pedavegi to find out their influence on vegetative growth and yield of fresh fruit bunches during the year 2016-2017. The data obtained have indicated non-significant differences for most of the parameters evaluated. However, application of irrigation water through drip method at crop factor 0.8 recorded highest number of leaves produced (25.83), highest number of female inflorescences (7.16), lowest number of male inflorescences (5.12) which contributed to increased production of number of fresh fruit bunches (7.16), total weight of FFBs (148.44 kg/palm/year) thereby FFB yield (21.23 t/ha). Further, the same treatment combination has increased percentage of fruits to the bunch (64.79%).Keywords
Crop Factor, Female Inflorescence, Fresh Fruit Bunches, Male Inflorescence, Oil Palm.References
- Basavaraju, T.B., Palanna, K.B., Lavanya, T.N., Prashanth, M. and Arulraj, S. (2011). Growth and yield performance of coconut hybrids in maidan tract of Karnataka. J. Plantation Crops, 39(1): 171-173.
- Blum, A. (2005). Drought resistance, water use efficiency and yield potential - are they compatible, dissonant or mutually exclusive. Australian J.Agric. Res., 56: 1159-1168.
- Chaves, M.M. and Oliveira, M.M. (2004). Mechanisms underlying plant resilience to water deficits: prospects for water saving agriculture. J. Exp. Bot., 55: 2365-2384.
- Ferwerda, J.D. (1977). Oil palm in ecophysiology of tropical crops. Academic Press, London, 351-388pp.
- Gajbhiye, R.C., Gawankar, M.S., Arulraj, S and Patil, S.L. (2011). Evaluation of drought tolerant oil palm genotypes for their performance in Konkan Region of Maharashtra. J. Plantation Crops, 39(1): 161-163.
- Gawankar, M.S., Devmore, J.P., Jamadagni, B.M., Sagvekar, V.V. and Hameedkhan, H. (2003). Effect of water stress on growth and yield of tenera oil palm. J. Appl. Hort., 5(1):39-40.
- Hartley, C.W.S. (1988). The oil palm, 3rd Ed. Harlow, England, Longman.
- Henson, I.E. and Harun, M.H. (2005).The influence of climatic conditions on gas and energy exchanges above a young oil palm stand in north Kedah, Malaysia. J. Oil Palm Res.,17:7391.
- Hsiao, T.C., Silk, W.K. and Jing, J. (1985). Leaf growth and water deficits. Biophysical effect. In: Control of leaf growth. Baker, N.R. W.J. Davies and C.K. Ong (Eds.) Cambridge University Press, Cambridge. pp. 239-266.
- Jones, L.H. (1997). The effect of leaf pruning and other stresses on sex determination in the oil palm and their representation by a computer simulation. J. Theoret. Biol., 187: 241-260.
- Kijne, J.W. (2006). Abiotic stress and water scarcity: Identifying and resolving conflicts from plant level to global level. Field Crops Res., 97: 3-18.
- Larsen, B.J. (1981). Drought resistance and water relations in conifers in relation to the nutrient. Pot Rev., 11, subj. 22, 28th Suite. pp. 1-5.
- Neumann, P.M. (2008). Cropping mechanisms for crop plants in drought prone environments. Ann. Bot., 101: 901-907.
- Panse, V.G. and Sukhtame, P.V. (1985). Statistical methods for agricultural workers. Indian Council of Agricultural Research, New Delhi, India.
- Passioura, J. (2007). The drought environment: physical, biological and agricultural perspectives. J. Exp. Bot., 58: 113117.
- Rao, B.N., Suresh, K., Behera, S.K., Ramachandrudu, K. and Manorama, K. (2016). Irrigation management in oil palm (Technical Bulletin). ICAR-IIOPR, Pedavegi, Andhra Pradesh.
- Rao, K.K. (2009). Effect of different methods of irrigation and nutrient requirement on yield of oil palm. Internat. J. Oil Palm Res., 6 (1):31-34.
- Reddy, A.R, Chaitanya, K.V. and Vivekanandan, M. (2004). Drought-induced responses of photosynthesis and antioxidant metabolism in higher plants. J. Plant Physiol., 161: 1189–1202.
- Sanjeevraddi, G., Patil, D.R., Maheshwarappa, H.P., Arulraj, S., Mastan Reddy, B.G. and Chandravathi, B. (2014). Evaluation of African oil palm germplasm for drought tolerance. J. Plantation Crops, 42 (2): 170-174.
- Sun, C., Cao, H., Shao, H., Lei, X. and Xiao, Y. (2011).Growth and physiological responses to water and nutrient stress in oil palm. African J. Biotechnol., 10 (51) : 10465-10471.
- Zhu, X.C., Sun, Z.M., Tao, Y.Q, Gao, W.H., Huang, Q.A., Cang, Z.W. and Zhou, X.W. (2008). Introduction of prior variety of Elaeis guineensis from Malaysia. Guangdong For. Sci.Technol., 24: 84-86.
- Terrain Mapping Camera-2 onboard Chandrayaan-2 Orbiter
Authors
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
Source
Current Science, Vol 118, No 4 (2020), Pagination: 566-572Abstract
The paper presents the design and development of Terrain Mapping Camera-2 (TMC-2) for Chandrayaan- 2 including science objectives; system and sub-system configuration along with the realized performance of the camera; payload characterization; aspects related to data products, etc. TMC-2, onboard Chandrayaan-2 orbiter-craft is a follow-on of the Terrain Mapping Camera (TMC) onboard Chandrayaan- 1. It operates in visible panchromatic band. It comprises three identical electro-optical chains aligned for three views (–25, 0 and +25 degree) along track direction for generation of stereo images. It provides data with 5 m horizontal ground sampling distance to generate digital elevation model. TMC-2 based on the new configuration and sub-system designs has reduction in mass and power by more than 40% compared to TMC, without compromising the performance.Keywords
Digital Elevation Model, Light Transfer Characteristics, Relative Spectral Response, Signal-to-noise Ratio, Stereo Imaging, Square Wave Response, Terrain Mapping Camera-2.References
- Kiran Kumar, A. S. and Chowdhury, A. R., Terrain mapping camera for Chandrayaan-1. J. Earth Syst. Sci., 2005, 114(6), 717–720.
- Kiran Kumar, A. S. et al., Terrain mapping camera: a stereoscopic high-resolution instrument on Chandrayaan-1. Curr. Sci., 2009, 96, 492–495.
- Kiran Kumar, A. S. et al., The terrain mapping camera on Chandrayaan-1 and initial results. In 40th Lunar and Planetary Science Conference, Houston Texas, 2009, Abstract #1584.
- Arya, A. S., Rajasekhar, R. P., Guneshwar Thangjam, Ajai and Kiran Kumar, A. S., Detection of potential site for future human habitability on the Moon using Chandrayaan-1 data. Curr. Sci., 2011, 100, 524–529.
- Arya, A. S., Rajasekhar, R. P., Amitabh, Gopala Krishna, B., Ajai and Kiran Kumar, A. S., Morphometric, rheological and compositional analysis of an effusive lunar dome using high resolution remote sensing data sets: a case study from Marius hills region. Adv. Space Res., 2014, 54, 2073–2086.
- Arya, A. S. et al., Morphometric and rheological study of lunar domes of Marius Hills volcanic complex region using Chandrayaan1 and recent datasets. J. Earth Syst. Sci., 2018, 127, 70.
- Arya, A. S. et al., Lunar surface age determination using Chandrayaan-1 TMC data. Curr. Sci., 2012, 102, 783–788.
- Cybernetic E-Vehicle for Campus Transportation
Authors
1 Department of Electrical and Electronics Engineering, Sri Manakula Vinayagar Engineering College, IN
Source
ICTACT Journal on Microelectronics, Vol 5, No 2 (2019), Pagination: 758-766Abstract
This paper provides the solution for smart mobility to the people who are unfamiliar with the routes on campus. The proposed automated evehicle contains four wheels - one wheel at the front end and three wheels at the rear end to get a proper balance. It also contains a keyboard Switch with which the user keys their destination point as an input to the system. It is programmed to take the travelers automatically to the destination based on the input provided by the travelers. This is done by automating the main controls like accelerator, brakes and hand bar. Each control is handled by an individual motor. The Servomotor is used to control acceleration whereas the braking and steering of hand bar are controlled by 12V and 24V geared DC motor. Brushless DC motor (BLDC) of rating 48V is used as a main drive. It is responsible for the movement of vehicles. To accomplish zero chance of accident occurrence, ultrasonic sensors are employed. Three numbers of ultrasonic sensors are placed at the front of the vehicle. These sensors help us to detect the obstacle along its way. It gives out a signal when any obstacle is sensed. Global Positioning System (GPS) module helps up to identify the vehicle location on the Earth by coordinates in the form of latitude and longitude. Through this module, the coordinate that the vehicle has to travel is identified and fed into the Arduino microcontroller. At every instance, the present location of the vehicle is compared with the pre-loaded coordinates. Finally, the Arduino microcontroller works with the data from these components and generates the control signals to drive the vehicle in a programmed route. The developed simple Cybernetic E Vehicle is tested in real time.Keywords
Cybernetic E Vehicle, Ultrasonic Sensor, Servo Motor, DC Motor.- Arduino Microcontroller based Smart Dustbins for Smart Cities
Authors
1 Department of Electrical and Electronics Engineering, Sri Manakula Vinayagar Engineering College, IN