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Kavitha, S.
- Employees' Perception on Electronic Customer Relationship Management in Banks: an Empirical Investigation in Tamilnadu
Abstract Views :457 |
PDF Views:6
Authors
Affiliations
1 Vivekanandha Institute of Information and Management Studies, Tiruchengode, Namakkal District, Tamilnadu., IN
1 Vivekanandha Institute of Information and Management Studies, Tiruchengode, Namakkal District, Tamilnadu., IN
Source
International Journal on Customer Relations, Vol 1, No 1 (2013), Pagination: 25-30Abstract
Today we have an emerging concept called ECRM, a means for the companies to conduct interactive and personalized communications with customer. Companies whether they are manufacturing or are in the service, need to adopt right customer relationship strategies in order to survive in the competitive world. Banks are using ECRM tools for creating relationship with their customers. Bank employees are working with these tools and success entirely depends on the ways in which it is properly adopted and used by these employees. This study was conducted with an objective to know the employee's perception on ECRM tools and effectiveness of usage of these tools.Keywords
Customer Relationship Management, Electronic Customer Relationship Management, Private Sector Banks, Public Sector Banks
References
- Ambashta, M. K. (1997). Customer Orientation- A Pre-Requisite for Banks’ Success. The Journal of Indian Institute of Bankers, January-March, pp. 21.
- Amir, A. D., & Sunderpandian, J. (2002). Complete Business Statistics. New Delhi: Tata Mcgraw Hill Publications.
- Berry, L. L. (1995). Relationship Marketing Services-Growing Interest, Emerging Perspectives. Journal of Academy of Marketing Science, 23(4), pp. 236-245.
- Dhar, U., Dhar, S., & Jain, A. (2004). Service with a Difference: A Comparative Analysis of Private and Public Sector Banks. Prestige Journal of Management and Research, April-October, 8(1 & 2), pp. 17-29.
- Donald, C. R. & Shindler, P. S. (2003). Business Research Methods. New Delhi: Tata McGraw Hill Publications.
- Dyche, J. (2001). The CRM Handbook: A Business Guide to Customer Relationship Management. Boston, M.A: Addison-Wesley.
- Janki, B. (2002). Unleashing Employee Productivity, Need for a Paradigm Shift. Indian Banking Association Bulletin, March, 24(3), pp. 7-9.
- Kothari, C. R. (2004). Research Methodology, Methods & Techniques. New Age International Publishing.
- Mittal, A., Sonwalkar, J., & Mishra, A. K. (2003). An Exploratory Study of CRM Orientation among Bank Employees. Indian Journal of Training and Development, January-June, 33(1-2), pp. 34-44.
- Sekaran, U. (2009). Research Methods for Business, A Skill Building Approach. (4thed.) Noida: Wiley India.
- Sheth, J. A., Parvatiyar, A., & Shainesh, G. (2007). Customer Relationship Management. New Delhi: Tata Mcgraw Hill.
- Shainesh, G., & Mohan, R. (2000). The Status of Customer Relationship in India, Survey of Service Firms, In Sheth N. Jagdish (ed.). Customer Relationship Management-Emerging Concepts, Tools and Applications (pp. 369-378). New Delhi: Tata Mcgraw Hill Publications.
- Sundar, K., & Lakshmanan. (2005). Customer Care Management in Banks. Management Marketers, September-February, 1(3), pp.93-96.
- Venkataramana, V., & Somayajulu, G. (2005). CRMEmerging Concepts, Tools and Applications. New Delhi: Excel Books.
- Blood Glucose Lowering Potential of Chinese Violet (Asystasia gangetica (L.) T. Anderson) in Normal and Streptozotocin Induced Diabetic Rats
Abstract Views :369 |
PDF Views:2
Authors
Affiliations
1 Department of Biotechnology, School of Life Sciences, Karpagam University, Coimbatore-641021, Tamil Nadu, IN
2 Bioprocess Lab, Department of Botany, Government Arts College, Coimbatore, Tamil Nadu-641018, IN
1 Department of Biotechnology, School of Life Sciences, Karpagam University, Coimbatore-641021, Tamil Nadu, IN
2 Bioprocess Lab, Department of Botany, Government Arts College, Coimbatore, Tamil Nadu-641018, IN
Source
Research Journal of Pharmacognosy and Phytochemistry, Vol 6, No 4 (2014), Pagination: 170-175Abstract
Objective: The present study was undertaken to investigate the glucose reducing level by Asystasia gangetica flowers with various doses (125, 250 and 500 mg/kg bw) in normal and streptozotocin induced diabetic rats. Methods: Acute and sub-acute toxicity of A. gangetica was evaluated in rats with various doses and its and serum parameters were analyzed. Diabetes was induced by giving streptozotocin (45 mg/kg bw) to the rats and after conformation of diabetes, A. gangetica flower ethanol extract (AGFEE) was administrated to the normal and diabetic rats for a period of 14 days. Body weight and glucose levels were determined after 7th and 14th day of the study. Glucose tolerance test was also carried out after administration of glucose at the rate of 2 g/kg bw till 14th day. Results: The LD50 of extract found to be higher than 2000 mg/kg bw and the extract did not show any significant changes in serum parameters. In blood glucose reducing activity the three doses showed significant lowering glucose levels, when compared with each doses at the dose of 250 mg/kg bw the AGFEE showed maximum activity. In diabetic control rats there was a significant elevation in blood glucose levels and reduction in body weight was produced and continued till the end of the study. No alterations were found in control and extract alone treated rats. Results showed AGFEE had exhibited significant hypoglycemic (glucose lowering) activity. Conclusion: Present in vivo model indicating that the plant extract contain active principle compound for the management of hyperglycemia.Keywords
Asystasia gangetica Flowers, Streptozotocin, Glucose Tolerance, Hyperglycemia.References
- Akah PA, Ezike AC, Nwafor SV, Okoli CO, Enwerem NM. Evaluation of the anti-asthmatic property of Asystasia gangetica leaf extracts. J Ethnopharmacol 2003; 89 (1): 25-36.
- Shanmugam S, Rajendran K, Suresh K. Traditional uses of medicinal plants among the rural people in Sivagangai district of Tamilnadu, Southern India. Asian Pac J Trop Biomed 2012; 29-34.
- Senthil Kumar M, Gurumurthi P, Janardhan K. Some medicinal plants use by Irular, the tribal people of Marudhamalai hills, Coimbatotre, Tamilnadu. Nat Prod Radiance 2006; 5 (5): 382-388.
- Yeoh HH, Wong PFM. Food value of lesser utilized tropical plants. Food Chem 1993; 46 (3): 239-241.
- Kokwaro JO. Medicinal Plants of East Africa, 2nd ed. General Printers Ltd., Kenya 1976; p. 12.
- Kameswara Rao B, Renuka SP, Rajasekhar MD, Nagaraju N, Appa Rao Ch, Antidiabetic activity of Terminalia pallida fruit in alloxan-induced diabetic rats. J Ethnopharmacol 2003; 85 (1): 169-172.
- American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2005; 28: 537-542.
- Burcelin R, Eddouks M, Maury J, Kande J, Assan R, Girard J. Excessive glucose production, rather than insulin resistance, accounts for hyperglycemia in recent-onset streptozotocindiabetic rats. Diabetologia 1995; 38: 283-290.
- Weiss RB. Streptozotocin: A review of its pharmacology, efficacy and toxicity, Cancer Tret R 1982; 66: 427-438.
- Rang HP, Dale MM, Ritter JM, Moore PK. Pharmacology, 5th Edition. Edinburgh: Churchill Livingstone, Elsevier Science Ltd; 2003, 387-392.
- Jouad H, Haloui M, Rhiouani H, El Hilaly J, Eddouks M. Ethnobotanical survey of medicinal plants used for the treatment of diabetes, cardiac and renal diseases in the North centre region of Morocco (Fez-Boulemane). J Ethnopharmacol 2001; 77:175-182.
- Sasaki T, Matsy S, Sonae A. Effect of acetic acid concentration on the colour reaction in the o-toluidine boric acid method for blood glucose estimation. Rinsho Kagaku 1972; 1: 346-353.
- Natelson S, Scott ML, Beffa C. A rapid method for the estimation of urea in biological fluids. Am J Clin Pathol 1951; 21: 275-81.
- Owen JA, Iggo JB, Scangrett FJ, Steward IP. Determination of creatinine in plasma serum, ac critical examination. J Biochem 1954; 58: 426-437.
- Parekh AC, Jung DH. Cholesterol determination with ferric acetate and sulphuric acid-ferrous sulphate reagents. Anal Chem 1970; 42: 1423-1427.
- Wolfson WQ, Cohn A, Calvary E, Ichiba F. Clinical Practical Biochemistry, Studies in serum proteins V. A rapid procedure for the estimation of total protein, true albumin, total globulin, alpha globulin, beta globulin and gamma globulin in 1.0 ml of serum. Am J Clin Pathol 1948; 18: 723-730.
- Reitman S, Frankel SA. Colorimetric method for the determination of serum glutamic oxaloacetic and glutamic pyruvic transaminases. Am J Clin Pathol 1957; 28: 56-63.
- King EJ, Armstrong AR. Determination of serum and bile phosphatase activity. Can Med Assoc J 1934; 31: 56-63.
- Parminder Nain Vipin Saini, Sunil Sharma, Jaspreet Nain. Antidiabetic and antioxidant potential of Emblica officinalis mellitus (T2DM) rats. J Ethnopharmacol 2012; 142: 65-71.
- Thierry TA, Acha AE, Paulin N, Aphrodite C, Pierre K, Tazoacha A. Subacute toxicity study of the aqueous extract from Acanthus montanus. Electron J Biol 2011; 7: 11-15.
- Lahlou S. Acute and chronic toxicity of a lyophilised aqueous extract of Tanacetum vulgare leaves in rodents. J Ethnopharmacol 2008; 117: 221-227.
- Szkudelski T. The mechanism of alloxan and streptozotocin action in beta-cells of the rat pancreas. Physiol Res 2001; 50: 536-546.
- Park MW, Ha J, Chung SH. 20(S)-ginsenoside Rg3 enhances glucose-stimulated insulin secretion and activates AMPK. Biol Pharm Bull 2008; 31(4): 748-751.
- Erejuwa OO, Sulaiman SA, Wahab MS, Salam SK, Salleh MS, Gurtu S. Antioxidant protective effect of glibenclamide and metformin in combination with honey in pancreas of streptozotocin-induced diabetic rats. Int J Mol Sci 2010; 11: 2056-2066.
- Juskiewicz J, Zdunczyk Z, Jurgoński A, Brzuzan L, Godycka- Klos I, Zary Sikorska E. Extract of green tea leaves partially attenuates streptozotocin-induced changes in antioxidant status and gastrointestinal functioning in rats. Nutrition Res J 2008; 28: 343-349.
- Swanston-Flat SK, Day C, Bailey CJ, Flatt PR. Traditional plant treatment for diabetes: studies in normal and streptozotocin diabetic mice. Diabetologia 1990; 33: 462-464.
- Chatterjea MN, Shinde R. Text Book of Medical Biochemistry. Jaypee Brothers
- Medical Publishers, New Delhi, 2002; p. 317.
- Griesmacher A, Kindhauser M, Andert SE, Schreiner W, Toma C, Knoebl P, Pietschmann P, Prager R, Schnack C, Schemthaner G, Mueller MM. Enhanced serum levels of thiobarbituric-acidreactive substances in diabetes mellitus. Am J Med 1995; 98: 469-475.
- Grover JK, Yadav S, Sats V. Medicinals plants of India with anti-diabetic potential. J Ethnopharmacol 2002; 81: 81-100.
- Nakashima M, Kimura M, Matsuura H. Isolation of pseudoprototimosaponin A III from rhizomes of Anemarrhena asphodeloides and its hypoglycemic activity in streptozotocininduced diabetic mice. J Nat Prod 1993; 56: 345-350.
- Hsu FL, Chen YC, Cheng JT. Caffeic Acid as active principle from the fruit of Xanthium strumarium to lower plasma glucose in Diabetic rats. Planta Med 2000; 66: 228-230.
- Iwu MM. Antidiabetic properties of Bridelia ferruginea leaves. Planta Med 1980; 39: 247.
- Prince PSM, Menon VP. Hypoglycemic and other related action of Tinospora codifolia ischolar_mains in alloxan rats. J Ethnopharmacol 2000; 70: 19-25.
- Andrew JK. Diabetes, Churchilli living stone, New York. 2000; 1.
- Effect of Processing on Quality Evaluation of Composite Flours
Abstract Views :662 |
PDF Views:496
Authors
Affiliations
1 Department of Food Science and Nutrition, Periyar University, Salem, Tamil Nadu, IN
1 Department of Food Science and Nutrition, Periyar University, Salem, Tamil Nadu, IN
Source
FoodSci: Indian Journal of Research in Food Science and Nutrition, Vol 1, No 2 (2014), Pagination: 12-15Abstract
The present study prepared aims to demonstrate the quality evaluation of roasted and germinated composite flours. Composite flour was prepared with wheat flour, maize flour, green gram flour and groundnut flour. Material balance method was followed to get the required proportions of flours. The samples of first batch were raw and considered as control flour. Second and third batch samples were roasted flour and germinated flour respectively. Roasting and germination were done by the standard methods. Proximate composition and functional properties were determined using the standard procedures.Protein content of germinated flour was significantly higher than other flours. Fat and carbohydrate were degraded significantly (p<0.05) during processing. On germination, the water absorption index increased significantly at 5 per cent level indicating the ability of flour to absorb water and an increase in the amount of soluble materials, which can be easily digested. Germination increased water absorption capacity, foaming capacity and solubility whereas roasting significantly affects bulk density, oil absorption capacity, swelling capacity and emulsi- fication capacity.The present study concludes that the composite flours have better qualities that could be harnessed by roasting and germination to meet nutritional requirements and recommended for incorporation in food preparations.Keywords
Composite Flours, Germination, Proximate Composition, Roasting.Full Text
- Fine mapping of consistent quantitative trait loci for yield under drought stress using rice (Oryza sativa) recombinant inbred lines adapted to rainfed environment
Abstract Views :389 |
PDF Views:149
Authors
Affiliations
1 Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore 641 003, IN
1 Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore 641 003, IN
Source
Current Science, Vol 109, No 5 (2015), Pagination: 910-917Abstract
Drought stress is a serious constraint, especially in rainfed rice production, and breeding for drought tolerance by selection based on yield under stress, though effective, is slow Mapping quantitative trait loci (QTLs) for yield and its components under drought stress predominant in rainfed target populations of environment (TPE) will help overcome this limitation. In the present study, a subset of 143 F8 and F9 recombinant inbred (RI) lines derived from IR62266-42-6-2 (IR62266), a high-yielding indica ecotype and Norungan, a landrace from TPE, was used to map QTLs for yield and its components under drought predominant in TPE. A large effect yield QTL observed under drought stress in TPE was consistent across two years with a phenotypic variation of 31.3% and 37.9% and additive effect of 629.2 and 424.9 kg/ha Further, this region was fine-mapped to 94.0 kb with positive effect on grain yield under stress.Keywords
Comparative genomics, drought stress, fine mapping, quantitative trait locus, rice.Full Text
References
- Food and Agriculture Organization, 2012; http://www.fao.org/economic/est/publications/rice-publications/rice-market-monitorrmm/en/
- Food and Agriculture Organization, 2013; http://www.fao.org/economic/est/publications/rice-publications/rice-market-monitorrmm/en/
- Hanson, A. D., Peacock, W. J., Evans, L. T., Arntzen, C. J. and Khush, G. S., Drought resistance in rice. Nature, 1990, 345, 26–27.
- Pandey, S. and Bhandari, H., Introduction. In Economic Costs of Drought and Rice Farmers’ Coping Mechanisms. A Cross-Country Comparative Analysis (eds Pandey, S., Bhandary, H. and Hardy, B), International Rice Research Institute/World Scientific,Singapore, 2007, pp. 1–9.
- Kumar, A., Dixit, S., Ram, T., Yadaw, R. B., Mishra, K. K. and Mandal, N. P., Breeding high-yielding drought-tolerant rice:genetic variations and conventional and molecular approaches. J.Exp. Bot., 2014, 65, 6265–6278.
- Jongdee, B., Fukai, S. and Cooper, M., Genotypic variation for grain yield of rice under water-deficit conditions. In Proceedings of 9th Australian Agronomy Conference (eds Michalk, D. and Pratley, J.), Wagga Wagga, NSW, Australia, 1998, pp. 403–406.
- Salunkhe, A. S. et al., Fine mapping QTL for drought resistance traits in rice (Oryza sativa L.) using bulk segregant analysis. Mol.Biotechnol., 2011, 49, 90–95.
- Dixit, S., Singh, A. and Kumar, A., Rice breeding for high grain yield under drought: a strategic solution to a complex problem. Int. J. Agron., 2014, 863683, 13; doi:10.1155/2014/863683.
- Kumar, A., Bernier, J., Verulkar, S., Lafitte, H. R. and Atlin, G. N., Breeding for drought tolerance: direct selection for yield, response to selection and use of drought-tolerant donors in upland and lowland-adapted populations. Field Crops Res., 2008, 107,221–231.
- Venuprasad, R., Lafitte, H. R. and Atlin, G. N., Response to direct selection for grain yield under drought stress in rice. Crop Sci., 2007, 47, 285–293.
- Xu, Y. B., Molecular Breeding, CAB International, Wallingford UK, 2010.
- Bernier, J., Kumar, A., Ramaiah, V., Spaner, D. and Atlin, G., A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. Crop Sci., 2007, 47, 507–518.
- Kumar, R., Venuprasad, R. and Atlin, G. N., Genetic analysis of rainfed lowland rice drought tolerance under naturally-occurring stress in eastern India: heritability and QTL effects. Field Crops Res., 2007, 103, 42–52.
- Venuprasad, R., Bool, M. E., Dalid, C. O., Bernier, J., Kumar, A. and Atlin, G. N., Genetic loci responding to two cycles of divergent selection for grain yield under drought stress in a rice breeding population. Euphytica, 2009, 167, 261–269.
- Vikram, P., Swamy, B. P. M., Dixit. S., Ahmed, H. U., Sta Cruz, M. T., Singh, A. K. and Kumar, A., qDTY1.1, a major QTL for rice grain yield under reproductive-stage drought stress with a consistent effect in multiple elite genetic backgrounds. BMC Genet.,2011, 12(1), 89.
- Mishra, K. K. et al., qDTY12.1: a locus with a consistent effect on grain yield under drought in rice. BMC Genet., 2013, 14, 12.
- Courtois, B. et al., Locating QTLs controlling constitutive ischolar_main traits in the rice population IAC165xCo39. Euphytica, 2003, 134,335–345.
- Salekdeh, G. H., Siopongco, J., Wade, L. J., Ghareyazie, B. and Bennett, J., Proteomic analysis of rice leaves during drought stress and recovery. Proteomics, 2002, 2, 1131–1145.
- Dixit, S. et al., Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities. Theor. Appl. Genet., 2012, 125, 155–169.
- Lafitte, H. R. et al., Improvement of rice drought tolerance through backcross breeding: evaluation of donors and selection in drought nurseries. Field Crops Res., 2006, 97, 77–96.
- Atlin, G. N., Lafitte, H. R., Tao, D., Laza, M., Amante, M.and Courtois, B., Developing rice cultivars for high-fertility upland systems in the Asian tropics. Field Crops Res., 2006, 97,43–52.
- Tanksley, S. D. and McCouch, S. R., Seed banks and molecular maps: unblocking genetic potential from the wild. Science, 1997,277, 1063–1066.
- Babu, R. C. et al., Variation in ischolar_main penetration ability, osmotic adjustment and dehydration tolerance among accessions of rice adapted to rainfed lowland and upland ecosystems. Plant Breed.,2001, 120, 233–238.
- Babu, R. C., Pathan, M. S., Blum, A. and Nguyen, H. T., Comparison of measurement methods of osmotic adjustment in rice cultivars. Crop Sci., 1999, 39, 150–158.
- Siopongco, J. D. L. C., Sekiya, K., Yamauchi, A., Egdane, J., Ismail, A. M. and Wade, L. J., Stomatal responses in rainfed lowland rice to partial soil drying; comparison of two lines. Plant Prod. Sci., 2009, 12, 17–28.
- IRRI, International network for genetic evaluation of rice: standard evaluation system for rice. International Rice Research Institute, Los Banos, the Philippines, 1996.
- Gawel, N. J. and Jarret, R. L., A modified CTAB DNA extraction procedure for Musa and Ipomoea plant. Mol. Biol. Rep., 1991, 9, 262–266.
- SAS Institute Inc, SAS® 9.3. SAS Institute Inc, Cary, NC, USA, 2012.
- Lander, E. S., Green, P., Abrahamson, J., Barlow, A., Daly, M. J., Lincoln, S. E. and Newberg, L., MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics, 2009, 1, 174–181.
- Kosambi, D. D., The estimation of map distances from recombination values. Ann. Eugenet., 1944, 12(1), 172–175.
- Voorrips, R. E., MapChart: software for the graphical presentation of linkage maps and QTLs. J. Hered., 2002, 93, 77–78.
- Wang, S., Basten, J. and Zeng, Z. B., Windows QTL Cartographer 2.5. North Carolina State University, Raleigh, NC, 2013.
- Churchill, G. A. and Doerge, R. W., Empirical threshold values for quantitative trait mapping. Genetics, 1994, 138, 963–971.
- Suji, K. K. et al., Mapping QTLs for plant phenology and production traits using indica rice (Oryza sativa L.) lines adapted to rainfed environment. Mol. Biotechnol., 2012, 52, 151–160.
- Thongjuea, S., Ruanjaichon, V., Bruskiewich, R. and Vanavichit, A., RiceGeneThresher: a web-based application for mining genes underlying QTL in rice genome. Nucleic Acids Res., 2009, 37, D996–D1000.
- Berloo, R. V., GGT 2.0: versatile software for visualization and analysis of genetic data. J. Hered., 2008, 99, 232–236.
- Babu, R. C. et al., Genetic analysis of drought resistance in rice by molecular markers: association between secondary traits and field performance. Crop Sci., 2003, 43, 1457–1469.
- Cho, Y. G. et al., Identification of quantitative trait loci in rice for yield, yield components and agronomic traits across years and locations. Crop Sci., 2007, 47, 2403–2417.
- Zhuang, J. Y., Fan, Y. Y., Wu, J. L., Xia, Y. W. and Zheng, K. L., Comparison of the detection of QTL for yield traits in different generations of a rice cross using two mapping approaches. Yi Chuan Xue Bao, 2001, 28, 458–464.
- Zhou, S. X., Tian, F., Zhu, Z. F., Fu, Y. C., Wang, X. K. and Sun, C. Q., Identification of quantitative trait loci controlling drought tolerance at seedling stage in Chinese Dongxiang common wild rice (Oryza rufipogon G.). Acta Genet. Sin., 2006, 33, 551–558.
- Khowaja, F. S., Norton, G. J., Courtois, B. and Price, A. H., Improved resolution in the position of drought-related QTLs in a single mapping population of rice by meta-analysis. BMC Genomics, 2009, 10, 276–290.
- Swamy, B. P. M. and Sarla, N., Meta-analysis of yield QTLs derived from inter-specific crosses of rice reveals consensus regions and candidate genes. Plant Mol. Biol. Rep., 2010, 29, 663–680.
- Cho, Y. C. et al., QTLs analysis of yield and its related traits in wild rice relative Oryza rufipogon. Treat Crop Res., 2003, 4, 19–29.
- Brondani, C., Rangel, N., Brondani, V. and Ferreira, E., QTL mapping and introgression of yield-related traits from Oryza glumaepatula to cultivated rice (Oryza sativa) using microsatellite markers. Theor. Appl. Genet., 2002, 104, 1192–1203.
- Marri, P. R., Sarla, N., Reddy, L. V. and Siddiq, E., Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon. BMC Genet., 2005, 6, 33.
- Moncada, P., Martinez, C. P., Borrero, J., Chatel, M., Gauch Jr, H., Guimaraes, E., Tohme, J. and McCouch, S. R., Quantitativetrait loci for yield and yield components in an Oryza sativa × Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor. Appl. Genet., 2001, 102, 41–52.
- Qu, Y., Mu, P., Zhang, H., Chen, C.Y., Gao, Y., Tian, Y., Wen, F.and Li, Z., Mapping QTLs of ischolar_main morphological traits at different growth stages in rice. Genetica, 2008, 133, 187–200.
- Robin, S. et al., Mapping osmotic adjustment in an advanced back-cross inbred population of rice. Theor. Appl. Genet., 2003,107, 1288–1296.
- Li, W. et al., Proteomics analysis of alfalfa response to heat stress. PLoS ONE, 2013, 8, e82725; doi:10.1371/journal.pone.0082725.
- Zhang, H., Shen, G., Kuppu, S., Gaxiola, R. and Payton, P., Creating drought- and salt-tolerant cotton by overexpressing a vacuolar pyrophosphatase gene. Plant Signal Behav., 2011, 6, 861–863.
- Du, Z. Y., Chen, M. X., Chen, Q. F., Xiao, S. and Chye, M. L., Overexpression of Arabidopsis acyl-CoA-binding protein ACBP2 enhances drought tolerance. Plant Cell Environ., 2013, 36, 300–314.
- Hao, Z. F., Li, X. H., Xie, C. X., Li, M. S., Zhang, D. G., Bai, L. and Zhang, S. H., Two consensus quantitative trait loci clusters controlling anthesis–silking interval, ear setting and grain yield might be related with drought tolerance in maize. Ann. Appl. Biol.,2008, 153, 73–83.
- Yadav, R. S., Hash, C. T., Bidinger, F. R., Cavan, G. P. and Howarth, C. J., Quantitative trait loci associated with traits determining grain and stover yield in pearl millet under terminal drought-stress conditions. Theor. Appl. Genet., 2002, 104, 67–83.
- Wyrich, R. et al., The molecular basis of C4 photosynthesis in sorghum: isolation, characterization and RFLP mapping of mesophyll-and bundle-sheath-specific cDNAs obtained by differential screening. Plant Mol. Biol., 1998, 37, 319–335.
- Forster, B. P. et al., Genotype and phenotype associations with drought tolerance in barley tested in North Africa. Ann. Appl.Biol., 2004, 144, 157–168.
- Von Korff, M., Grando, S., Del Greco, A., This, D., Baum, M. and Ceccarelli, S., Quantitative trait loci associated with adaptation to Mediterranean dryland conditions in barley. Theor. Appl. Genet.,2008, 117, 653–669.
- Improving Data Accessibility in MANET with Node Mobility Algorithm
Abstract Views :202 |
PDF Views:2
Authors
Affiliations
1 Dr. GRD College of Arts and Science, Coimbatore, IN
1 Dr. GRD College of Arts and Science, Coimbatore, IN
Source
Wireless Communication, Vol 6, No 8 (2014), Pagination: 296-298Abstract
A Mobile Ad-hoc Network (MANET) is a collection of independent wireless nodes that can move randomly which forms a short-term network which has no fixed Infrastructure [8]. A MANET is a collection of mobile nodes connected by wireless links which can configure by itself. In Mobile Ad Hoc Networks, network partitioning or performance degradation occurs due to mobility of nodes. To minimize the performance degradation we go for replication techniques. These techniques consider that all mobile nodes co-operate fully, where as some nodes may co-operate partially or may not co-operate with other nodes and they are termed as selfish nodes. These types of nodes reduce the overall data accessibility. In order to preserve their battery selfish nodes won’t transmit data to others. Most of the existing research focuses on the network issues in a MANET. The main purpose of using a MANET is to provide well-organized data services to users replica allocation is also an important area to be focused. In previous methods some time link failure nodes are identified as selfish node. To overcome these issues a novel method is proposed where each node selects its neighbor nodes by considering low link failure rate, high contact probability and high remaining energy level. Then reliable neighbor scheme is applied to select nodes from its neighbors to replicate data. Here nodes are considered reliable which contribute more memory to neighbor nodes for replication of data items.
Keywords
Data Replication, Link Failure, Contact Probability, Energy Level.- Analysis of Hybrid Wavelet Generation Technique for an Efficient Image Compression
Abstract Views :201 |
PDF Views:2
Authors
V. Hariprasad
1,
S. Kavitha
2
Affiliations
1 The Oxford College of Engineering, Bommanahalli, Bangalore-68, IN
2 Dept. of CSE, The Oxford College of Engineering, Bommanahalli, Bangalore-68, IN
1 The Oxford College of Engineering, Bommanahalli, Bangalore-68, IN
2 Dept. of CSE, The Oxford College of Engineering, Bommanahalli, Bangalore-68, IN
Source
Digital Image Processing, Vol 5, No 5 (2013), Pagination: 259-263Abstract
This paper presents the analysis of hybrid wavelet transform generation technique using two orthogonal transforms. The orthogonal transforms are used for analysis of global properties of the data into frequency domain. For understanding the local properties of the signal, the concept of wavelet transform is introduced. Wavelets are mathematical tools that can be used to extract information from many different kinds of data such as text and images. The proposed method considers the Hybrid Wavelet transform which can be generated by crossbreeding any two orthogonal transforms among four transforms such as Discrete Cosine transform (DCT), Discrete Walsh transform (DWT), Discrete Hartley transform (DHT) and Discrete Kekre transform (DKT). The analysis of the hybrid wavelet transforms is done by comparing them with the original orthogonal transforms with respect to Mean Square Error (MSE) and Peak Signal to Noise Ratio(PSNR) values. The experimental result increases the performance of Hybrid wavelet transforms than the original orthogonal transforms by maintaining both the compression rate and the quality in tolerable manner.Keywords
Hybrid Wavelet Transforms, Image Compression, Orthogonal Transforms.- Lossy Compression through Fast Extraction of Object-Of-Interest on Low Depth-Of-Field Images
Abstract Views :173 |
PDF Views:1
Authors
S. Kavitha
1,
N. Ramaraj
2
Affiliations
1 Computer Science & Engineering Department, The Oxford College of Engineering, VTU, Bangalore, IN
2 GKM College of Engineering, Chennai, Anna University, IN
1 Computer Science & Engineering Department, The Oxford College of Engineering, VTU, Bangalore, IN
2 GKM College of Engineering, Chennai, Anna University, IN
Source
Digital Image Processing, Vol 2, No 11 (2010), Pagination: 496-504Abstract
The popularity of multimedia applications has resulted in development of lossless and lossy compression techniques. This paper presents a novel lossy compression scheme for the Low Depth-of-Field (DOF) images where the quality factor is altered based on whether we are compressing object-of-interest (OOI) or the background. Low DOF is a popular photographic technique which enables the representation of the photographer’s intention by giving a clear focus only on an object of interest (OOI). We first describe a fast and efficient scheme for extracting OOIs from individual low-DOF images and then apply the lossy compression scheme with different quality factor on it. The proposed system does not require any user assistance to determine the initial OOI. The experimental results shows that the proposed method performs well in compressing the given image (higher compression ratio), at the same time maintaining the acceptable quality (high PSNR) and reduce the complexity.Keywords
Image Compression, JPEG, Image Segmentation, Low Depth-Of-Field (DOF), Object of Interest (OOI).- Analysis of Various Techniques and Methods in Hand Gesture Recognition and Facial Detection
Abstract Views :185 |
PDF Views:2
Authors
R. Pradipa
1,
S. Kavitha
1
Affiliations
1 Department of Computer Science and Engineering, Velammal College of Engineering Technology, Madurai, IN
1 Department of Computer Science and Engineering, Velammal College of Engineering Technology, Madurai, IN
Source
Biometrics and Bioinformatics, Vol 6, No 2 (2014), Pagination:Abstract
More effective and friendly methods for Human Computer Interaction (HCI) are being developed due to the pervasiveness of new information technology and media, which do not need any traditional interacting devices such as keyboards, mice, and displays. The face processing research based on the premise that information about a user’s identity, state, and intent can be extracted from images, and that computers can then react accordingly. Gesture recognition aims at creating a system to convey information or for device control which can be identified by specific human gestures. Real-time vision-based hand gesture recognition is considered to be more and more feasible for HCI with the help of latest advances in the field of computer vision and pattern recognition. This survey papers deals with discussion of various techniques, methods and algorithms related to the gesture recognition and sheds information about Face detection. One of the natural way of communications is to use hand gesture which combines the emotions of human to real world. Hand gesture recognition has the various advantages of able to communicate with the Technology through basic sign language. The gesture will able to reduce the use of most prominent hardware devices which are used to control the activities of computer.Keywords
Glove, Vision Based, Camshift, Segmentation.- In Vitro Antioxidant and Anticancer Activities of Seed Extract of Solanum virginianum
Abstract Views :326 |
PDF Views:175
Authors
Source
Asian Journal of Pharmaceutical Research and Health Care, Vol 7, No 1 (2015), Pagination: 1-5Abstract
The aim of the present study is to evaluate the antioxidant and anticancer activities of seed extract of Solanum Virginianum. The antioxidant activity was assessed using DPPH scavenging assay while the anticancer property of the Solanum virginanum in swiss albino mice against Dalton Ascites Lymphoma (DAL).Tumor was induced in mice by intraperitoneal inoculation of Dalton Ascites Lymphoma cells (1 x 105 cells / mouse).The seed extract was found to possess significant antioxidant and anticancer activities.Keywords
Antioxidant, Antitumor, Dalton Ascites Lymphoma , Solanum virgininumFull Text
- Design and Development of Absorption Spectrophotometric based Non–Invasive Blood Glucose Measuring Device
Abstract Views :200 |
PDF Views:3
Authors
Affiliations
1 Dr. Mahalingam College of Engineering and Technology, Pollachi, IN
2 Dr. Mahalingam college of Engineering and Technology, Pollachi, IN
1 Dr. Mahalingam College of Engineering and Technology, Pollachi, IN
2 Dr. Mahalingam college of Engineering and Technology, Pollachi, IN
Source
Research Journal of Pharmacy and Technology, Vol 10, No 1 (2017), Pagination: 91-97Abstract
Diabetes is a major health care melancholy issue of contemporary era. In order to control the blood glucose levels and to improve the quality of life, some painless diagnosing method has to be identified, thereby avoiding the complications of present day lancet methods. Although many efforts have been taken by researchers in order to successfully launch a device that measures blood glucose noninvasively, the results seems to be intruded due to the fact that designers mostly concentrate on optical methods which suffer from greater interferences due to the less absorbing property of glucose. Our earlier work investigated a possible method of measuring the Non Invasive Blood Glucose Concentration level (NI-BGC), although results achieved were quite hopeful, it needs further extensive testing and improvement in the design before it can be considered for clinical use. This paper rationalizes a method of using Ultra Violet - Visible Light (UV-VIS) Spectrophotometer for selecting the correct Light Source of proper wavelength, by testing the raw blood sample and artificial Glucose samples - to be employed in the design. This work also draws together readings from two different sensors based on absorption photometry and by averaging the sensor values using embedded technology; a non-invasive glucometer has been modelled to provide a boon for the person hankering to diagnose diabetes.Keywords
Absorption, Diabetes, LASER, Non-Invasive, Photodiode, Spectrophotometer.- Solar PV Integrated UPQC Using Fuzzy Logic Controller for a Grid Connected System
Abstract Views :235 |
PDF Views:2
Authors
Affiliations
1 Department of Power System Engineering in Muthayammal Engineering College, Rasipuram – 637 408, IN
2 Department of EEE at Muthayammal Engineering College, Rasipuram – 637 408, IN
1 Department of Power System Engineering in Muthayammal Engineering College, Rasipuram – 637 408, IN
2 Department of EEE at Muthayammal Engineering College, Rasipuram – 637 408, IN
Source
Fuzzy Systems, Vol 10, No 6 (2018), Pagination: 141-146Abstract
This paper introduces optimal utilization of solar photovoltaic array integrated PV-UPQC-S by modified p-q theory based control for clean energy generation along with power quality improvement. UPQC is designed by the integration of series and shunt VSCs sharing a common DC bus capacitor. Voltage disturbance like sag, swell, unbalance and harmonics are being compensated by UPQC along with mitigation of source current harmonics. Series VSC simultaneously delivers active and reactive power using theory of power angle control of UPQC to coordinate load reactive power and hence named as UPQC-S. The fundamental frequency positive sequence (FFPS) components of voltages at PCC are extracted using generalized cascaded delay signal cancellation (GCDSC) technique to generate reference signals using p-q theory based control for the PV-UPQC-S. This helps in control of distorted PCC voltages. The series voltage source converter (VSC) shares a part of the reactive power of the load even under nominal grid conditions, thereby reducing the rating of shunt VSC. The PV array is integrated at the DC-bus of the UPQC, provides a part of active load power thus reducing demand on the supply system. The DC voltage is maintained constant using Fuzzy Logic Controller. The shunt and series reference signals derived from the control algorithm and sensed signals are injected into FLC to generate switching signals. The proposed system can work under multiple disturbance such as irradiation variation, PCC voltage disturbance and harmonics occurring simultaneously. The dynamic performance of modified p-q theory based PV-UPQC-S is verified by simulating the system in Matlab-Simulink with combination of linear and nonlinear loads.
Keywords
Power Quality, UPQC-S, Solar MPPT, GCDSC, p-q Theory, Series Compensation, Shunt Compensation.References
- L. F. de Oliveira Costa and J. M. de Carvalho Filho, “Electrical power quality and the challenges faced by power assemblies applications in petrochemical industry, ”IEEE Trans. Ind. Appl., vol. 52, no. 5, pp. 4495–4502, Sept 2016.
- A. Banerji, S. K. Biswas, and B. Singh, “Enhancing quality of power to sensitive loads with microgrid,”IEEE Trans. Ind. Appl., vol. 52, no. 1, pp. 360–368, Jan 2016.
- H.Hafezi, G.DAntona, A.Ded, D.D.Giustina, R.Faranda, and G. Massa, “Power quality conditioning in LV distribution networks: Results by field demonstration” IEEE Transactions on Smart Grid, vol. 8, no. 1, pp. 418–427, Jan 2017
- V. Khadkikar and A. Chandra, “A novel structure for three-phase fourwire distribution system utilizing unified power quality conditioner UPQC,”IEEE Trans. Ind. Appl., vol. 45, no. 5, pp. 1897–1902, Sept 2009.
- V. Khadkikar, “Enhancing electric power quality using UPQC: A comprehensive overview,” IEEE Trans. Power Electron., vol. 27, no. 5, pp. 2284–2297, May 2012.
- B. B. Ambati and V. Khadkikar, “Optimal sizing of upqc considering va loading and maximum utilization of power-electronic converters,” IEEE Trans. Power Del., vol. 29, no. 3, pp. 1490–1498, June 2014.
- V. Khadkikar and A. Chandra, “UPQC-S: A novel concept of simultaneous voltage sag/swell and load reactive power compensations utilizing series inverter of UPQC,”IEEE Trans. Power Electron., vol. 26, no. 9, pp. 2414–2425, Sept 2011.
- S. Devassy and B. Singh, “Enhancement of power quality using solar pv integrated UPQC,” in39th National Systems Conference (NSC), Dec 2015, pp. 1–6.
- S. Devassy and B. Singh, “Modified p-q theory based control of solar PV integrated UPQC-S,” in IEEE Industry Applications Society Annual Meeting, Oct 2016, pp. 1–8.
- H. Akagi, E. Watanabe, M. Aredes, Instantaneous Power Theory and Applications to Power Conditioning. New Jersey: Wiley, 2007.
- P. Kanjiya, B. Singh, A. Chandra, and K. Al-Haddad, “’SRF Theory Revisited’ to control self-supported dynamic voltage restorer (dvr) for unbalanced and nonlinear loads,” IEEE Trans. Ind. Appl., vol. 49, no. 5, pp. 2330–2340, Sept 2013.
- R. S. Herrera and P. Salmeron, “Present point of view about the instantaneous reactive power theory,” IET Power Electronics, vol.2, no. 5, pp. 484–495, Sept 2009.
- Y. F. Wang and Y. W. Li, “Three-phase cascaded delayed signal cancellation pll for fast selective harmonic detection,” IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1452–1463, April 2013.
- S. Golestan, F. D. Freijedo, A. Vidal, A. G. Yepes, J. M. Guerrero, and J. Doval-Gandoy, “An efficient implementation of generalized delayed signal cancellation PLL,” IEEE Trans. Power Electron., vol. 31, no. 2, pp. 1085–1094, Feb 2016.
- M. de Brito, L. Galotto, L. Sampaio, G. de Azevedo e Melo, and C. Canesin, “Evaluation of the main MPPT techniques for photovoltaic applications,” IEEE Trans. Ind. Electron., vol. 60, no. 3, pp. 1156–1167, March 2013.
- Risk Prediction System using Data Mining Techniques in Gynecological Ovarian Cancer
Abstract Views :713 |
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Authors
Affiliations
1 Department of Computer Science, Government Arts and Science College for Women, Bargur, IN
2 Department of Computer Science, Auxilium College, IN
1 Department of Computer Science, Government Arts and Science College for Women, Bargur, IN
2 Department of Computer Science, Auxilium College, IN
Source
ICTACT Journal on Soft Computing, Vol 9, No 4 (2019), Pagination: 1993-1998Abstract
Cancer is one of the leading causes of death worldwide. Early detection and prevention of cancer plays a very important role in reducing deaths caused by cancer. Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to detect at initial stage due to which it remains as one of the leading causes of cancer death. Identification of genetic and environmental factors is very important in developing novel methods to detect and prevent cancer. This research uses data mining technology such as classification, clustering and prediction to identify potential cancer patients. Therefore a cancer risk prediction system is here proposed which is easy, cost effective and time saving.Keywords
Ovarian Cancer, Multi-Layer Perceptron Classifier, Detection.References
- B.T. Hennessy, R.L. Coleman and M. Markman, “Ovarian Cancer”, Lancet, Vol. 374, No. 9698, pp. 1371-1382, 2009.
- J.O. Schorge, S.C. Modesitt, R.L. Coleman, D.E. Cohn, N.D. Kauff, L.R. Duska and T.J. Herzog, “SGO White Paper on Ovarian Cancer: Etiology, Screening and Surveillance”, Gynecologic Oncology, Vol. 119, No. 1, pp. 7-17, 2010.
- S. Jothi and S. Anitha, “Data mining Classification Techniques Applied of Cancer Disease-A Case Study using Xlminer”, International Journal of Engineering Research and Technology, Vol. 1, No. 8, pp. 23-32, 2012.
- T. Jayalakshmi and A. Santhakumaran, “A Novel Classification Method for Classification of Diabetes Mellitus using Artificial Neural Networks”, Proceedings of International Conference on Data Storage and Data Engineering, pp. 159-163, 2010.
- P. Ramachandran, N. Girija and T. Bhuvaneswari, “Early Detection and Prevention of Cancer using Data Mining Techniques”, International Journal of Computer Applications, Vol. 97, No. 13, pp. 1-8, 2014.
- B. Rosiline Jeetha and M. Malathi, “Diagnosis of Ovarian Cancer using Artificial Neural Network”, International Journal of Computer Trends and Technology, Vol. 4, No. 10, pp. 3601-3606, 2013.
- J. Hyeon, H.J. Choi, B.D. Lee and K.N. Lee, “Diagnosing Cervical Cell Images using Pre-Trained Convolutional Neural Network as Feature Extractor”, Proceedings of International Conference on Big Data and Smart Computing, pp. 411-417, 2017.
- C.J. Tseng, C.J. Lu, C.C. Chang and G.D. Chen, “Integration of Data Mining Classification Techniques and Ensemble Learning to Identify Risk Factors and Diagnose Ovarian Cancer Recurrence”, Artificial Intelligence in Medicine, Vol. 78, pp. 47-54, 2017.
- Antonia Vlahou, John O. Schorge, Betsy W. Gregory and Robert L. Coleman, “Diagnosis of Ovarian Cancer Using Decision Tree Classification of Mass Spectral Data”, Journal of Biomedicine and Biotechnology, Vol. 5, No. 1, pp. 308-314, 2003.
- P. Yasodha and N.R. Ananthanarayanan, “Detecting the Ovarian Cancer using Big Data Analysis with Effective Model”, Biomedical Research, Vol. 31, No. 1, pp. 1-14, 2018.
- Ahmed Osmanoviu, Layla Abdel Ilah, Adnan Hodziu, Jasmin Kevric and Adnan Fojnica, “Ovary Cancer Detection using Decision Tree Classifiers based on Historical Data of Ovary Cancer Patients”, Proceedings of the International Conference on Medical and Biological Engineering, pp. 344-349, 2017.
- Tuan Zea Tan, Chai Quek, Geok See Ng and Khalil Razvi, “Ovarian Cancer Diagnosis with Complementary Learning Fuzzy Neural Network”, Artificial Intelligence in Medicine, Vol. 43, pp. 207-222, 2008.
- Pooja Agrawal, Suresh Kashyap, Vikas Chandra Pandey and Suraj Prasad Keshri, “Knowledge Patterns in Clinical Data through Data Mining: A Review on Cancer Disease Prediction”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, No. 4, pp. 56-64, 2013.
- Baolin Wu, Tom Abbott, David Fishman, Walter McMurray, Gil Mor, Kathryn Stone, David Ward, Kenneth Williams and Hongyu Zhao, “Comparison of Statistical Methods for Classification of Ovarian Cancer using Mass Spectrometry Data”, Bioinformatics, Vol. 19, No. 13 pp. 1636-1643, 2003.
- H. Yan, Y. Jiang, J. Zheng, C. Peng and Q. Li, “A Multilayer Perceptron-based Medical Decision Support System for Heart Disease Diagnosis”, Expert Systems with Applications, Vol. 30, No. 2, pp. 272-281, 2006.
- M. Azarbad, S. Hakimi and A. Ebrahimzadeh, “Automatic Recognition of Digital Communication Signal”, International Journal of Energy, Information and Communications, Vol. 3, No. 4, pp. 21-34, 2012.
- Predicting the load-bearing capability of resistance spot welded advanced high strength DP-1000 steel spot joints for automotive structural and body frame applications
Abstract Views :169 |
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Authors
Affiliations
1 4Centre for Materials Joining and Research (CEMAJOR), Annamalai University, Annamalai Nagar, Tamil Nadu, India., IN
2 Centre for Materials Joining and Research (CEMAJOR), Annamalai University, Annamalai Nagar, Tamil Nadu, India., IN
3 Centre for Welding and Additive Manufacturing (C-WAM), G. S. Mandal’s Maharashtra Institute of Technology, Aurangabad, Maharashtra, India., IN
4 Department of Electronics and Instrumentation Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, India., IN
1 4Centre for Materials Joining and Research (CEMAJOR), Annamalai University, Annamalai Nagar, Tamil Nadu, India., IN
2 Centre for Materials Joining and Research (CEMAJOR), Annamalai University, Annamalai Nagar, Tamil Nadu, India., IN
3 Centre for Welding and Additive Manufacturing (C-WAM), G. S. Mandal’s Maharashtra Institute of Technology, Aurangabad, Maharashtra, India., IN
4 Department of Electronics and Instrumentation Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, India., IN
Source
Manufacturing Technology Today, Vol 21, No 7-8 (2022), Pagination: 13-22Abstract
Resistance spot welding (RSW) is used to overcome the issues in fusion welding of DP-1000 steel such as softening in heat affected zone (HAZ), solidification cracking, high thermal residual stresses and distortion. The main objective of this investigation is to develop the empirical relationships to predict the tensile shear fracture load bearing capability of spot joints for automotive applications. The three factor – three level box-behnken design (3X3-BBD) consisting ofless experiments was chosen for developing the experimental matrix. The lap tensile shear fracture load (LAP-TSFL) and cross tensile shear fracture load (CROSS-TSFL) tests were performed to determine the load bearing capability of spot joints. The empirical relationships of LAP-TSFL and CROSS-TSFL of spot joints were developed using polynomial regression equations incorporating the process parameters in coded form. Analysis of Variance (ANOVA) was executed to check the viability of developed empirical relationships for LAP-TSFL and CROSS-TSFL. The empirical relationship accurately predicted the LAP-TSFL and CROSS-TSFL capability of spot joints with less than 1% error at 95% confidence level.Keywords
DP-1000 Steel, Resistance Spot Welding, Optimization, Tensile Shear Fracture Load.References
- Alves, P. H. O. M., Lima, M. S. F., Raabe, D., Sandim, H. R. Z. (2018). Laser beam welding of dual-phase DP1000 steel. Journal of Materials Processing Technology, 252,498-510.
- Aydin, H. (2015). The mechanical properties of dissimilar resistance spot-welded DP600– DP1000 steel joints for automotive applications. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 229(5), 599-610.
- Chabok, A., Galinmoghaddam, E., De Hosson, J. T. M., Pei, Y. T. (2019). Micromechanical evaluation of DP1000-GI dual-phase high-strength steel resistance spot weld. Journal of materials science, 54(2), 1703-1715.
- Chabok, A., Van der Aa, E., De Hosson, J. T. M., Pei, Y. T. (2017). Mechanical behavior and failure mechanism of resistance spot welded DP1000 dual phase steel. Materials & design, 124, 171- 182.
- Khraisat, W., Abu Jadayil, W., Al-Zain, Y., Musmar, S. E. (2018). The effect of rolling direction on the weld structure and mechanical properties of DP 1000 steel. Cogent Engineering, 5(1), 1491019.
- Li, X., Wang, L., Yang, L., Wang, J., Li, K. (2014). Modeling of temperature field and pool formation during linear laser welding of DP1000 steel. Journal of Materials Processing Technology, 214(9), 1844-1851.
- Pizzorni, M., Lertora, E., Mandolfino, C., Gambaro, C. (2019). Experimental investigation of the static and fatigue behavior of hybrid ductile adhesive-RS Welded joints in a DP 1000 steel. International Journal of Adhesion and Adhesives, 95, 102400.
- Rajarajan, C., Sivaraj, P., Sonar, T., Raja, S., Mathiazhagan, N. (2022). Resistance spot welding of advanced high strength steel for fabrication of thin-walled automotive structural frames. Forces in Mechanics, 7, 100084.
- Rocha, I. C. L., Machado, I. G. and Mazzaferro, C. C. P. (2015). Mechanical and metallurgical properties of DP 1000 steel square butt welded joints with GMAW. International journal of engineering & technology, 4(1), 26-34.
- Xue, X., Pereira, A. B., Amorim, J., Liao, J. (2017). Effects of pulsed Nd: YAG laser welding parameters on penetration and microstructure characterization of a DP1000 steel butt joint. Metals, 7(8), 292.