Maize (Zea mays L.) is one of the most important crops in irrigated arid and semiarid areas of the world. It is an efficient user of water in terms of total dry matter production and among cereals, it is potentially the highest yielding grain crop. It is one of the most important cereals in Sultanate of Oman for both human and livestock consumption and is grown for grain and forage. Agricultural use of treated wastewater has proved to help preserving scarce water sources, improve plant growth and increase productivity of poor soils fertility. A study was conducted at Agriculture Research Station, Rumais during the winter seasons of 2011/12 and 2012/13 using two water types (Treated Wastewater (TW) and Freshwater (FW)) and four water quantities/ levels (0.6, 0.9, 1.2, and 1.5 ETo). The results indicated that the effect of year was significant to highly significant in respect of plant height (p<0.05), cob weight (p<0.01) and WUE (p<0.01). The effect of water quantity was significant (p<0.01) for only WUE whereas the effect of water type (quality) was significant to highly significant for all the characters except plant height. In respect of two factor interactions, effect of interaction between year and water quantity was significant only for WUE while that between year and water type (quality) was significant for only green and dry matter yields (p<0.05) and that between water quantity and water types was significant only for plant height (p<0.05). However, three factor interaction between year, water quantity and type was not significant for any characters (p>0.05). Plant height and cob yield (t/ha) were significantly (p<0.05) superior during summer 2012/13 (172.69 cm and 0.80 t/ha) to that during 2011/12 (164.28 cm and 0.53 t/ha) irrespective of quantity and quality of water. The crop responded significantly or insignificantly better under treated wastewater than under freshwater in respect of all the growth parameters studies viz. plant height (p>0.05), cob yield (p<0.05), green and dry matter yield (p<0.05) and WUE (p<0.05). It was cocluded that 1.0 ETo could be considered as desired level as a balance based on significance of interaction effect of water quantity and water types in respect of plant height and significance of main effect of water quantity in respect of WUE.
- Page(s): 01-16
- Date of Publication: 15 August 2016
- Saif A. Al-KhamisiPlant Production Research Center Directorate General Agriculture & Livestock Research Ministry of Agriculture & Fisheries; PO Box 50; PC 121Seeb, Sultanate of Oman
- Saif Al-BusaidiPlant Production Research Center Directorate General Agriculture & Livestock Research Ministry of Agriculture & Fisheries; PO Box 50; PC 121Seeb, Sultanate of Oman
- Nadiya M. Al-JabriPlant Production Research Center Directorate General Agriculture & Livestock Research Ministry of Agriculture & Fisheries; PO Box 50; PC 121Seeb, Sultanate of Oman
- Saleem K NadafPlant Production Research Center Directorate General Agriculture & Livestock Research Ministry of Agriculture & Fisheries; PO Box 50; PC 121Seeb, Sultanate of Oman
- Abdulaziz. S. Al-HarthyPlant Production Research Center Directorate General Agriculture & Livestock Research Ministry of Agriculture & Fisheries; PO Box 50; PC 121Seeb, Sultanate of Oman
- Hamdan S. Al-WahaibiPlant Production Research Center Directorate General Agriculture & Livestock Research Ministry of Agriculture & Fisheries; PO Box 50; PC 121Seeb, Sultanate of Oman
References
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Saif A. Al-Khamisi, Saif Al-Busaidi., Nadiya M. Al-Jabri, Saleem K Nadaf, Abdulaziz. S. Al-Harthy and Hamdan S. Al-Wahaibi "Effect of Different Freshwater and Treated Wastewater Levels on Growth and Yield Attributes of Maize (Zea mays L.)" International Journal of Research and Scientific Innovation-(IJRSI) vol.3 issue 8, pp.01-16 2016
The hot pepper trade for the food processing industry is faced with the issue of variability and consistency in fruit quality in terms of pungency. The Caribbean is recognized as the producers of some of the world’s hottest and most pungent peppers but these have not been adequately quantified. This study evaluated eight of the landraces cultivated in the Caribbean and compared these with three of the international varieties. The analysis was conducted on the quality attributes and the determination of both the capsaicin and dihydrocapsaicin were analysed using the U3000HPLC high performance liquid chromatography. The results indicated that the Trinidad Scorpion had the highest capsaicinoids content (2.079 mg.ml) compared to Seven Pot (1.1029 mg.ml) and Carvalho hot (1.070 mg.ml). Further when the capsaicinoids content was converted to the pungency based on Scoville scores, the Trinidad Scorpion (30,000,00SHUs) was twice as hot as both of them. The Carvalho Hot pepper plant has the highest total fixed oil (9.0ml) and capsaicinoids (75.27 mg) and was two to three folds higher than the nearest rival landrace.
- Page(s): 17-29
- Date of Publication: 15 August 2016
- Puran BridgemohanCentre for Biosciences Agriculture and Food Technology,The University of Trinidad and Tobago Waterloo Research Campus,Carapichaima 642-8888 Ext 31100
- Musa El Sharief MohamedCentre for Biosciences Agriculture and Food Technology,The University of Trinidad and Tobago Waterloo Research Campus,Carapichaima 642-8888 Ext 31100
- Majeed MohammedDepartment of Food Production, Faculty of Food and Agriculture, University of the West Indies, Trinidad
- David FelderSenior Scientist, Agriculture and Rural Development, 118 Street, Edmonton, Alberta, Canada
References
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Capsicum: The genus Capsicum (Medicinal and Aromatic Plants-Industrial Profiles). London: Taylor & Francis, p. 3: 65; 6.5: 109. [21]. Monforte‐González, M., Guzmán‐Antonio, A., Uuh‐Chim, F., & Vázquez‐Flota, F. (2010). Capsaicin accumulation is related to nitrate content in placentas of habanero peppers (Capsicum chinense Jacq.). Journal of the Science of Food and Agriculture, 90(5), 764-768. [22]. Morre, D. J,, D. M, Morre, (2003). Synergjstic Capsicum-ia mixtures with anticancer activity. Jourtial of Pharmacy and Pharmacology 55 (7), 987-994. [23]. M. Mohamed, P. Bridgemohan. (2014). Hot Peppers: Rapid Qualitative Assessment Methodology To Determine Postharvest Levels Of Capsaicinoid Content In Ornamental Hot Pepper Crosses Ishs. Acta Horticulturae 1047:III International Conference on Postharvest and Quality Management of Horticultural Products of Interest for Tropical Regions. [24]. Mohammed, M., Hong, G. and Cantwell, M. (2008). Quality changes and capsaicin stability in three hot pepper cultivars during storage at chilling and non-chilling temperatures. Proceedings of the International Congress on Tropical Agriculture, Vol. 3: 255-268. [25]. Ohta, Y., Chuong, P...V.(1975)Hereditary changes in Capsicum annum. L.I. induced by ordinary grafting. Euphytica 24:335–368. [26]. Peña-Alvarez, A.; Ramírez-Maya, E.; Alvarado-Suárez, L.A. (2009) Analysis of capsaicin and dihydrocapsaicin in peppers and pepper sauces by solid phase microextraction–gas chromatography–mass spectrometry. J. Chromatogr. A, 1216, 2843–2847. [27]. Rao, G.U., Paran, I. (2003)Polygalacturonase: A candidate gene for the soft flesh and deciduous fruit mutation in Capsicum. Plant Mol. Biol. 51:135–141. [28]. Reilly, C., Crouch, D., and Yost, G. (2001). Quantitative Analysis of Capsaicinoids in Fresh Peppers, Oleoresin Capsicum and Pepper Spray Products. Journal of Forensic Sciences, 46 (3) 502-509. [29]. Reilly, C.A., Crouch, D.J., Yost, G.S. Fatah, A.A. (2002). Determination of capsaicin, nonivamide, and dihydrocapsaicin in blood and tissue by liquid chromatography-tandem mass spectrometry. J. Anal. Toxicol, 26, 313–319. [30]. Reyes-Escogido, M.L.; Gonzalez-Mondragon, E.G.; Vazquez-Tzompantzi, E. (2011). Chemical and Pharmacological Aspects of Capsaicin. Molecules, 16, 1253–1270. [31]. Sankarikutty, B., Sumathikutty, M.A., Nayaranan, C.S.J. (1978).Standardization of extraction of pungency from whole chilli (Capsicum) for estimation of capsaicin. Food Sci. Technol. 15:126–127 [32]. Sanatombi, K., & Sharma, G. J. (2008). Capsaicin content and pungency of different Capsicum spp. cultivars. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 36(2), 89. [33]. Scoville. (1912). W.L. Note on Capsicum. J. Am. Pharm. Assoc.,1, 453–454. [34]. Suzuki, T., Fujiwake, H., & Iwai, K. (1980). Intracellular localization of capsaicin and its analogues, capsaicinoid, in Capsicum fruit 1. Microscopic investigation of the structure of the placenta of Capsicum annuum var. annuum cv. Karayatsubusa. Plant and Cell Physiology, 21(5), 839-853. [35]. Swaminathan, N. (2007). Chili Pepper Cocktail Blunts Pain. [online] Scientific American. Available at: http://www.scientificamerican.com/article/chili-pepper-cocktail-blu/ [Accessed 29 Jun. 2016]. [36]. Todd, P.H., Bensinger, M.G., Biftu, T. (1997)Determination of pungency due to capsicum by gas–liquid chromatography. J. Food Sci. 42:660–665. [37]. Torrisi, Lauren. (2012). "Trinidad Moruga Scorpion Crowned World’s Hottest Pepper".Available at: http://abcnews.go.com/ [Accessed 29 Jun. 2016]. [38]. Thompson, R.Q.; Phinney, K.W.; Welch, M.J.; White, V.E. (2005). Quantitative determination of capsaicinoids by liquid chromatography-electrospray mass spectrometry. Anal. Bioanal. Chem, 381, 1441–1451. [39]. Valls Jfm. (2007). Caracterização de recursos genéticos vegetais. In: Nass LL (ed). Recursos genéticos vegetais. 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Puran Bridgemohan, Musa El Sharief Mohamed, Majeed Mohammed and David Felder "Hot Peppers: IV. HPLC Determination of the Relative Pungency and Fruit Quality Attributes of Eight (8) Caribbean Hot Pepper Landraces" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.17-29 2016
The analytical potential of the complexation of non ionic surfactants such as 1-octyl-β-D-glucopyranoside and Tween-20 with Zn(II), Cd(II), and Cu(II) was investigated by positive-ion electrospray ionization Fourier transform ion cyclotron resonance (ESI-FTICR) mass spectrometry. The most favorable M(II)/ 1-octyl-β-D-glucopyranoside association involves the metal attached to the deprotonated hydroxymethyl group and the hemiacetal oxygen. The binding efficiencies for 1- octyl-β-D-glucopyranoside and Tween-20 with Zn(II), Cd(II), and Cu(II) are studied.The metal binding order for 1-octyl-β-1- octyl-β-D-glucopyranosideis Cu(II) > Zn(II) > Cd(II).
- Page(s): 30-34
- Date of Publication: 15 August 2016
- Khaled EdbeyDepartment of Chemistry, Faculty of Science, University of Garyounis, Benghazi-Libya
- Grainne MoranDepartment of Chemistry, Faculty of Science, University of New South Wales, Sydney, Australia
- Gary WillettDepartment of Chemistry, Faculty of Science, University of New South Wales, Sydney, Australia
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Khaled Edbey, Grainne Moran, Gary Willett "The Complexation of Glycoside Surfactants with Divalent Metal Ions: An Electrospray Ionization Mass Spectrometric Study" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.30-34 2016
We develop a novel technique for resizable Hadoop cluster’s lower bounds, the template matching rectangular array of bloom filtering expressions. Specifically, fix an arbitrary hybrid kernel function f:{0,1}n and let Af be the rectangular array of bloom filtering expressions whose columns are each an application of f to some subset of the variables x1, x2 ,...,x4n . We prove that Af has bounded-capacity resizable Hadoop cluster’s complexity omega(d), where is d the approximate degree of f . This finding remains valid in the MapReduce programming model, regardless of prior measurement. In particular, it gives a new and simple proof of lower bounds for robustness and other symmetric conjunctive predicates. We further characterize the discrepancy, approximate PageRank, and approximate trace distance norm of Af in terms of well-studied analytic properties of f, broadly generalizing several findings on small-bias resizable Hadoop cluster and agnostic inference. The method of this paper has also enabled important progress in multi-cloud resizable Hadoop cluster’s complexity.
- Page(s): 35-53
- Date of Publication: 15 August 2016
- Ravi (Ravinder) Prakash GSenior Professor Research, BMS Institute of Technology & Management, Dodaballapur Road, Avalahalli Yelahanka, Bengaluru – 560 064, India
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Bertsekas, Convex Optimization Algorithms, Athena Scientific, Hardcover Edition ISBN: 1-886529-28-0, 978-1-886529-28-1, Publication: February, 2015, 576 pages. [39]. Ravi (Ravinder) Prakash G, Kiran M. "Does there exist lower bounds on numerical summarization for calculating aggregate resizable Hadoop channel and complexity?" International Journal of Advanced Information Science and Technology, April 2016, Pages: 26-44, ISSN: 2319:2682
Ravi (Ravinder) Prakash G "Is Every Non-Degenerate Bloom Filtering of Aggregate Resizable Manifold of Hadoop Channel Having Homogeneous Lower Bounds?" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.35-53 2016
Mangrove ecosystems are the most productive ecosystems, and possess unique environmental conditions, but are least explored. This study was carried out to isolate Actinomycetes strains that have potential to produce commercially important enzymes as well as antibiotics from least explored mangrove soils. The soil sample was collected from Dumas – Bhimpore mangrove region, Surat. Using dilution plate technique three isolates were obtained and were characterized based on morphological, physiological and biochemical parameters. Screening was done for four important enzymes such as amylase, cellulase, L-asparaginase and protease production and respective enzymatic activities by isolated strains. All strains were able to produce amylase enzyme. Strain 1 was found to have potential to produce amylase and cellulase enzymes; strain 2 was found to have potential to produce amylase, and L-asparaginase enzymes while strain 3 was found to have potential to produce all four enzymes. Isolates were also screened for antimicrobial activity against test organisms such as Salmonella typhimurium, Serratia marcescens, Bacillus cereus, Staphylococcus haemolyticus and Klebsiella pneumoniae and antifungal activity against Rhizopus, Penicillium, Neurospora crassa, Aspergillus niger and Fusarium oxysporum. Strain 1 was found to have no potential antimicrobial activity against any test bacteria. No isolate was found to have potential antifungal activity against test fungus.
- Page(s): 54-59
- Date of Publication: 15 August 2016
- Dharna ShahDepartment of Biotechnology, Veer Narmad South Gujarat University, Udhana Magdhalla Road, Surat, Gujarat, India
- Anjali SoniDepartment of Biotechnology, Veer Narmad South Gujarat University, Udhana Magdhalla Road, Surat, Gujarat, India
References
[1] Baskaran, R., Vijayakumar, R. and Mohan, P., (2011). Enrichment method for the isolation of bioactive Actinomycetes from mangrove sediments of Andaman Islands, India Malaysian Journal of Microbiology, Vol 7(1), 1-7. [2] Bredholt, H., Fjaervik, E., Jhonsen, G. and Zotechev, S. B., (2008). Actinomycetes from sediments in the Trondhein Fjrod, Norway: Diversity and biological activity. Journal of Marine Drugs 6, 12-24. [3] Das, S., Lyla, P.S., and Khan, S.A., (2008). Characterization and identification of marine Actinomycetes existing systems, complexities and future directions National Academy Science Letters . Vol 31, no. 5&6, 149-160. [4] Kumar, S.V., Sahu, M.K. and Kathiresan, K., (2005). Isolation and characterization of streptomycetes producing antibiotics from a mangrove environment, Asian Journal of Microbiology, Biotechnology & Environmental Sciences.Vol. 7 No. (3); 457-464. [5] Jensen et al., P.R. Jensen, E. Gontang,C. Mafnas, T.J. Mincer, W. (2005). Culturable marine actinomycete diversity from tropical Pacific Ocean sediments Environmental Microbiology, Vol. 7 (7):1039–1048 [6] Ismet A, Vikineswary S, Paramaswari S, Wong WH, Ward A, Seki T, Fiedler HP, Goodfellow M (2004). Production and chemical characterization of antifungal metabolites from Micromonospora sp. M39 isolated from mangrove rhizosphere soil. World Journal of Microbiology and Biotechnology, 20: 523-528. [7] Hong K, Gao AH, Xie QY, Gao H, Zhuang L, Lin HP, Yu HP, Li J, Yao XC, Goodfellow M, Ruan JS (2009). Actinomycetes for marine drug discovery isolated from mangrove soils and plants in China. Marine Drugs 7:24–44. [8] Holt JG, Krieg NR, Sneath PH, et al. Group 19. Regular, nonsporing Gram-positive rods. In: Hensyl WR (ed), editor (1994). Bergey's manual of determinative bacteriology. 9th ed. Baltimore: Williams & Wilkins Inc. 565–70. [9] Jeffrey, L. S. H., (2008). Isolation, characterization and identification of Actinomycetes from agriculture soils at Semongok, Sarawak African Journal of Biotechnology Vol. 7 (20), pp. 3697-3702. [10] Kavya D., Solomon S. and Nagalakshmi D., (2012). Isolation and Screening of Streptomyces sp. from Coringa Mangrove Soils for Enzyme Production and Antimicrobial Activity. International Journal of Pharmaceutical, Chemical and Biological Sciences 2(1), 110-116. [11] Shirling E.B., Gottlieb D. (1966). Methods for characterization ofStreptomyces species International journal of systematic bacteriology. Vol.16, 313–340. [12] Lim SW, Kim JD, Kim BS, Hwang B.(2000). Isolation and numerical identification of Streptomyces humidus strain S5-55 antagonistic to plant pathogenic Fungi. Plant Pathology Journal 16(4): 189-199. [13] Jeffrey, L.S.H., Sahilah, A.M., Son R., Tosiah, S., (2007). Isolation and screening of Actinomycetes from Malaysian soil for their enzymatic and antimicrobial activities, Journal of Tropical Agriculture and Food Sciences. 35: 159-164. [14] Balagurunathan, R., Masilamani Selvam, M. and Kathiresan, K., (2010). Bioprospecting of mangrove rhizosphere Actinomycetes from Pitchavaram with the special reference to antibacterial activity. Journal of Pharmacy Research; 3(5):909-911. [15] Kathiresan, K. and Manivannan, S., (2007). Production of alkaline protease by Streptomyces sp., isolated from coastal mangrove sediment. Research Journal of Environmental Sciences; 1(4):173-178. [16] Mitra, P. and Chakrabartty, PK., (2005). An extracellular protease with depilation activity from Streptomyces nogalator. Journal of Scientific and Industrial Research; 64:978-983. [17] Murugan, M., Srinivasan, M., Siva, K., Maloy, S., and Kannan, L., (2007). Characterization of Actinomycete isolated from the estuarine finfish Mugil cephalus lin. (1758) and its optimization for cellulase production. Journal of scientific and industrial research; 66:388-393. [18] Oskay, M., Same, A., Azeri, C., (2004). Antibacterial activity of some Actinomycetes isolated from farming soils of African Journal of Biotechnology 3: 441-6. [19] Poorani, E., Saseetharan, MK., and Dhevagi, P., (2009). L-asparaginase production and molecular identification of marine Streptomyces sp strain EPD 27. International Journal of Integrative Biology; 7:150-155. [20] Prapassorn, R., Uraiwan, I., Somsiri, S., Nattayana, P., and Vichien, K., (2007). A Search and Improvement of Actinomycete Strains for Biological Control of Plant Pathogens. Journal of Natural Sciences (JNS); 41:248-254. [21] Remya, M., and Vijayakumar, R., (2007). Isolation and characterization of marine antagonistic Actinomycetes from west coast of India. Medicine and Biology; 15(1):13 – 19. [22] Sahoo, K., and Dhal, K., (2009). Potential microbial diversity in mangrove ecosystem: A review. Indian Journal of Marine Sciences; 38(2):249-256. [23] Veiga, M., Esparis, A., Fabregas, J., (1983). Isolation of cellulolytic Actinomycetes from marine sediments. Applied and Environmental Microbiology; 46: 286-287.
Dharna Shah, Anjali Soni "Isolation and Screening of Actinomycetesfrom Mangrove Soil for Enzyme Production and Antimicrobial Activity" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.54-59 2016
Nanocomposites can be made with a variety of enhanced physical, thermal and other unique properties. The addition of small amount of nanoparticles to polymers has been able to enable new properties for the composite materials. In recent years, polymer nanocomposites have received significant attention because of their importance on both from academic and industrial point of view. This paper reports our findings on synthesis of calcium ion doped TiO2/Poly o-(toluidine) nanocomposite by in-situ oxidative polymerization technique. The resultant nanocomposite was characterized by XRD, UV-Vis spectroscopy, SEM and TEM methods. From UV-Vis spectroscopy and by using Tauc plot the band gap energy of Ca2+ ion doped TiO2/POT nano composite is calculated and is found to be 3.6 eV. From XRD data the crystalline particle size is determined and it is found to be 53.3 nm. SEM shows the microstructure of bulk specimens and phase arrangement of polymer nanocomposites of different constituent are also studied. The core-shell structure of the nanocomposite was confirmed by TEM analysis.
- Page(s): 60-63
- Date of Publication: 15 August 2016
- Dr. Alagumuthu GHead, Research Centre, Department of Chemistry, Sri Paramakalyani College, Alwarkurichi, Tamilnadu, India.
- Pathampriyal RLecturer, Rani Anna Government College for Women, Tirunelveli, Tamilnadu, India.
Reference
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Dr. Alagumuthu G, Pathampriyal R "Synthesis and Characterization of Calcium Doped Tio2/Poly (o-toluidine) Nanocomposite" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.60-63 2016
Curriculum is a blueprint of experiences that have been planned for students. A curriculum is essentially a planned educational programme. It has definite objectives and these objectives are derived from goals. These goals are again conceived at three levels viz; ultimate(or long term) goals, mediate (or short term) goals and proximate (or immediate) goals. Since textual materials are pivotal sources of knowledge it is important that they include issues of equity and equality, as children both boys and girls from all segments of society access them. Therefore, portrayal of Gender relation and there contributions are important in the thematic selection pertaining to all disciplines and their portrayal in the visual depiction. In the Indian context textbooks are a great significance depository of knowledge. Indian school curriculum has generally followed the patriarchal traditions which type cast individuals in unequal gender based roles. A gender audit of textual material would help in knowing: • Whether textual materials relates to all disciplines address contributions and achievement of men and women in an adequate manner. • Whether textbooks reflect heterogeneous identities of all groups in an inclusive manner. • Whether textbooks bridge all segments of society related to gender. • Whether they are still showing the stereotypes images even when Society is modernizing also. • In the construction of knowledge in different subjects’ domains, it is important to analyze the content, visuals and exercises of the textbooks from a gender perspective. Human values should be woven in text books. There should not be any bias based on Sex, class, race, religion etc.
- Page(s): 64-71
- Date of Publication: 15 August 2016
- Radhika KharbandaResearch Scholar, Integral University, Lucknow, India.
References
[1]. Anderson, David and Mykol C. Hamilton (2005).Gender Role Stereotyping of Parents in Children’s Picture Books: The Invisible Father. Sex Roles.A Journal of Research [2]. Aniche O. (1998).GenderIssues in Education m State of Education” ,NigeriaLagos, UNESCO [3]. Ansary and Babaii (2003).Status of sexism in current ESL/EFL textbooks.: Iran [4]. Baldwin, P. and D. Baldwin. (1992).The Portrayal of Women in Classroom Textbooks.Canadian Social Studies 26(3):110-114. [5]. Beauvoir, Simone De. (1948). TheSecond Sex.Vintage. London [6]. Blumberg, Rae Lesser ( 2007). Gender Bias in Textbooks: A hidden Obstacle on the Road to Gender Equality in Education. Paper Commissioned for the EFA Global Monitoring Report 2008, Education for All by 2015: Will we make it?” UNESCO.: Paris. [7]. Deliyanni-Kouimtzi (1992). Stereotypes in Textbooks and Teaching Materials in Hong Kong. HongKong [8]. Drudy, Sheelagh, (2008). Gender balance/gender bias: the teaching profession and the impact of feminization Gender and Education. 2008. Vol. 20(4), 303-323. [9]. Frawley, T. J. (2008). Gender schema and prejudicial recall: How children misremember, fabricate, and distort gendered picture book information. Journal of Research in Childhood Education, 22(3), 291-303. [10]. Gharbavi Abdullah, Mousavi Ahmad (2012). The Application of Functional Linguistics in Exposing Gender Bias in Iranian High School English Textbooks. Department of Linguistics and Foreign Languages. Tehran Payam-e- Noor University.: Iran [11]. Grayson, Dolores A. (2007). Overview: Administrative Strategies for Implementing Gender Equity. Pp. 59-62 in Handbook for Achieving Gender Equity Through Education, edited by Susan S. Klein et al. 2nd edition. Mahwah. New Jersey: Lawrence Erlbaum Associates. [12]. Griffiths, Morwenna (2006). The feminization of teaching and the practice of teaching. Threat or opportunity? Educational Theory, Vol. 56(4), 387-405 [13]. Hahn, Carol L., Jane Bernard-Powers, Lisa Hunter, Susan Groves, Molly Mac Gregors and Kathyn P. Scott. (1985). Sex Equity in Social Studies. Pp. 280-297 in Handbook for Achieving Sex Equity Through Education, edited by Susan S. Klein. Baltimore: Johns Hopkins. [14]. Hamilton, M.C., D. Anderson, M. Broaddus and K.N. Young, 2006. Gender stereotyping and underrepresentation of female characters in 200 popular children’s picture books: A twenty-first century update. Sex Roles, 55: 757 [15]. Heyneman, Stephen P. (2006). The Role of Textbooks in a Modern System of Education: Towards High Quality Education for All. Nashville. TN.: Vanderbilt University. [16]. Hicks, Frances Clay (1974). Continuing Task Force on Education for Women, Texas Feminist Textbook Review. Protest hearings on textbooks before Texas Education Agency. Austin.: TX. [17]. Jackson, Sue. (2007). She Might Not Have the Right Tools…and He Does: Children’s Sensemaking of Gender, Work and Abilities in Early School Readers. Gender and Education [18]. Kahle, J. B. (2004). Will girls be left behind? Gender differences and accountability. Journal of Research in Science Teaching. 41(10). 961–969. [19]. Kothari C.R (1995) . Research Methodology : Methods and Techniques. New Delhi [20]. Krippendorff K. (1980). Content Analysis: An introduction to its methodology. London.: Sage [21]. Peterson, S. & Kroner, T. (1992); “Gender Biases in Textbooks for Introductory. Psychology and Human Development” Psychology of Women Quarterly, 16(1)17- 36. [22]. Reay, D. (2001) ; “ Spice girls', 'Nice Girls', 'Girlies', and 'Tomboys"; gender discourses. Girls' cultures and femininities in the primary classroom”. Gender and Education, 13 (2), 153-167. [23]. Richmond-Abbott, M. (1992). Masculine and feminine. Gender roles over the life cycle. (2ndEd.) New York: McGraw-Hill Inc. [24]. Sadker, M.P and SadkerD. (1991). The issue of gender in elementary and secondary Education, Review of Research in Education 17: 269-334
Radhika Kharbanda "A Study of Gender Prediction in U.P Board Social Science Text Book of Class IX" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.64-71 2016
Alkaline amylase producing Bacillus sp. was isolated from Mangrove soil sample. Optimization of cultural conditions revealed that the maximum amylase production by the isolate cultivated in basal media containing soluble starch reached at 72 hrs, at pH 9.0 and 500C the levels of the amylase production detected in culture supernatants varied greatly with the type of carbon and nitrogen sources. Starch, lactose and maltose stimulated amylase production, with highest at 2% starch concentration. 1% peptone was found to be best for amylase production. Partially purified amylase exhibited specific activity of 2776.35 U/mg which corresponds to 5.40 purification fold and 60% yield. The optimum activity of partially characterized amylase was found at temperature 700 C and at pH 9.0. CaCl2 and MgSO4 had a stimulatory effect on the amylase activity and Tween 40 was found to stimulate the activity. Such alkaliphilic amylase can be exploited for industrial application.
- Page(s): 72-76
- Date of Publication: 15 August 2016
- P. A JoshiDepartment of Microbiology, L.D. Sonawane College, Kalyan 421304, Maharashtra, India
- Anjali YadavDepartment of Microbiology, L.D. Sonawane College, Kalyan 421304, Maharashtra, India
References
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J. of bacterio. 5:829-832. [7]. Sashmita Mishra and Niranjan Behera,(2008). Amylase activity of a starch degrading bacteria isolated from soil receiving kitcten wastes, Afr J Biotech, 7:3326-3331. [8]. AshabilAygan, Burhan Arikan, HaticeKorkmaz, SadikDincer,OmerColak,(2008). Highly thermostable and alkaline α-amylase from a halotolerant- alkaliphilicBacillussp.AB68, BrazilianJMicrobio, 39:547-553. [9]. Hiroshi Hagihara, Kazuaki Igarashi, Yasuhiro Hayashi, Keiji Endo, Kaori Ikawa-Kitayama ,Katsuya Ozaki, Shuji Kawai and Susumu Ito,(2001) Novel α-amylase that is highly resistant to chelating reagents and chemical oxidants from the alkaliphilic Bacillusisolate KSM-K38, Appl&Env Microbio,67 :1744-1750. [10]. Hiroshi Hagihara, Kazuaki Igarashi, Yasuhiro Hayashi, Kaori Kitayana, Keiji Endo, Tadahiro Ozawa, Katsuya Ozaki, Shuji Kawai and Susumu Ito,(2002). Improvement of Thermostability of a Calcium-free α-amylase from an Alkaliphilic Bacillus sp.By Protein Engineering, J. Appl. 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P. A Joshi, Anjali Yadav "Optimization of Cultural Condition and Partial Characterization of Alkaline Amylase from Bacillus sp." International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.72-76 2016
Genetic variability is of greatest interest as it plays a vital role in framing successful breeding programme. Improvements in yield can be achieved by selection for grain yield, 1000 grain weight, plant height, ear height information helps a plant breeder to ensure efficient cultivar selection and screening of available sources of maize germplasm i.e. maize inbreds and hybrids involving two or more characters simultaneously for desirable attributes. The present study was therefore initiated to screen out different maize inbreds and hybrids for variability of yield and yield components. The experiment was carried out involving a set of 60 crosses along with 19 parents and three checks for estimating variability and heritability for yield and its attributing traits at three locations during kharif 2012, rabi 2012-13 and kharif 2013. The mean values of parents, hybrids and standard checks for eleven characters pooled over three locations are presented character wise. Wide range of variation was recorded for various traits indicating immense scope of selection for improvement. Genotypes in pooled analysis recorded a general mean of 51.10 days with a range of 44.89 to 60.22 days for days to 50 per cent tasseling. The mean number of days to maturity varied from 79.11 to 97.00 days with a mean of 86.03 days. The ear length in pooled analysis ranged from 9.22 to 20.33 cm with a general mean of 16.37 cm. The parents ranged from 9.22 to 18.22 cm while that of hybrids ranged from 14.89 to 20.33 cm. The grain yield of parents ranged from 36.00 to 126.78 g while for crosses, it varied from 108.44 to 170.67 g. High narrow sense heritability recorded for days to 50 per cent silking, days to 50 per cent tasseling, days to maturity, ear height, number of kernels per row and 100-seed weight indicated that these traits are predominantly under the control of additive gene action and can be improved by selection..
- Page(s): 77-81
- Date of Publication: 15 August 2016
- B. V. VaraprasadAgricultural Research Station, MADHIRA Professor Jayashankar Telangana State Agricultural University, Telangana, India.
- D. ShivaniAgricultural Research Station, MADHIRA Professor Jayashankar Telangana State Agricultural University, Telangana, India.
- G. Anil KumarAgricultural Research Station, MADHIRA Professor Jayashankar Telangana State Agricultural University, Telangana, India.
References
[1]. Abdel-Moneam, M.A., Sultan, M.S., Sadek ,S.E and Shalof, M.S. 2014. Estimation of heterosis and genetic parameters for yield and yield components in maize using the diallel cross method. Asian Journal of Crop Science. 6(2):101-111. [2]. Agrawal, V.K., Singh, R.M., Shahi , J.P and Agrawal, R.K.2014. Genetics of ear traits and grain yield in quality protein maize (Zea mays L.). Electronic Journal of Plant Breeding. 5(3): 428-434. [3]. Ali, A. W., Hasan, K.A and Samir, A. 2010. Genetic variances, heritability, correlation and path coefficient analysis in yellow maize crosses (Zea mays L.). Agriculture and Biology Journal of North America. 1(4):630-637. [4]. Bello, O. B., 2012. Heritability and Genetic Advance for Grain yield and its related attributes in Maize (Zea mays L.). Instasci Journal of of Microbiology & Biotechnology 2(1):1-14. [5]. Mohammad Akbar., Shabbir, M., Amer Hussain and Muhammad Sarwar. 2006. Evaluation of maize three way crosses through genetic variability, broad sense heritability, character association and path analysis. Journal of Agriculture Research. 46 (1): 39-45. [6]. Muhammad Rafique., Amer Hussain., Tariq Mahmood., Alvi, A. W and Alvi, M. B. 2004. Heritability and interrelationships among grain yield and yield components in maize (Zea mays L.). International Journal of Agriculture and Biology. 6(6): 1113-1114. [7]. Prodhan, H.S. and Rai. R., 1997. Genetic variability in popcorn. Indian Agric. 41(4): 287-290. [8]. Seanski, M., Zivanovic, T and Todorovic, G. 2005. Components of genetic variability and heritability of the number of rows per ear in silage maize. Biotechnology in Animal Husbandry. 21 : 109-121. [9]. Sofi, P and Rather, A.G. 2007. Studies on genetic variability, correlation and path analysis in maize (Zea mays L.). International Journal of Agricultural Sciences. 3(2):290-293. [10]. Yadav, T. P., Singh, R. D and Bhat, J. S. 2002. Genetic analysis in varietal crosses of maize (Zea mays L.). New Botanist. 29 (1-4): 131 – 140.
B. V. Varaprasad, D. Shivani and G. Anil Kumar "Genetic Analysis of Pooled Variation and Heritability in Maize Inbred Lines and Hybrids" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.77-81 2016
The growth of Municipal Solid Waste (MSW) has been skyrocketing as a result of growing urban population and industrialization. Day to day increase in waste generation demands Renewable technology for solid waste management for an effective economic and social growth of the people. Anaerobic digestion is a biological method used to convert organic wastes into a stable product for different applications such as cooking, electricity generation, etc. with reduced environmental impacts. The biogas produced can be used as an alternative renewable energy source.Biogas productions is a great substitute for fossil fuels. This process can also utilize MSW for production of electricity. Electricity generation through biogas helps in solving environmental issues, electricity shortage and Solid waste management problem. This paper focuses on technical feasibility and electrical potential mappingof Haridwar City through Anaerobic Digestion Technology.
- Page(s): 82-84
- Date of Publication: 15 August 2016
- Shubham GuptaPost Graduate Student, Department of Mechanical Engineering Delhi Technological University, Delhi-110042, India.
- Prof. R. S. MishraDepartment of Mechanical Engineering Delhi Technological University, Delhi-110042, India
References
[1]. MufeedSharholy, k. A. (2007). Municipal solid waste characteristics and management in Allahabad, India. Waste Management, 490-496. [2]. Tsai, W.-T. (2014). Analysis of Municipal solid waste incineration plants for promoting power generation efficiency in Taiwan. Master Cycles Waste Management. [3]. S Rathi, D. P. (2014). Electrical Energy Recovery from Municipal Solid Waste of Kanpur City. International Journal of Scientific Research Engineering & technology (IJSRET), 923-929. [4]. NIE, Y. (2008). Development and prospects of municipal solid waste (MSW) incineration in China. Environment Science Engineering China, 1-7. [5]. Ojha, K. (2011). Status of MSW management system in northern India-an overview. Environmental Development Sustainable, 203-215. [6]. Arena, U. (2015). From waste-to-energy to waste-to-resources: The new role of thermal treatments of solid waste in the Recycling Society Waste Management. [7]. Ityona Amber, D. M. (2012). Generation, characteristics and energy potential of solid municipal waste in Nigeria. Journal of Energy in South Africa, 47-51. [8]. VikashTalyan, R. P. (2008). Status of municipal solid waste management in Delhi, the capital of India. Waste Management, 1276-1287. [9]. V G Sister, L. V. (2006). Ways of improving the performance of energy producing equipment at waste incineration plant. Chemical and Petroleum Engineering, 3-4.
Shubham Gupta, Prof. R. S. Mishra "Estimation of Electrical Energy Generation from Anaerobic Digestion Technology" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.82-84 2016
The effective management of the Inventory is crucial to the performance of many organizations. Inventory is one of the key determinants of the productivity of cement Industry. The purpose of the study is to examine the Inventory Management of the selected Cement plants located a specific region of Andhra Pradesh.
- Page(s): 85-88
- Date of Publication: 15 August 2016
- Chalam G VProfessor, Department of Commerce & Business Administration, Acharaya Nagarjuna University, Andhra Pradesh, India
- Vijaya Lakshmi VAssistant Professor, GNITS, Hyderabad, Telangana, India
References
[1]. Edwin Sitienei, Florence Memba(2015-16) “ The Effect of Inventory Management on Profitability of Cement Manufacturing Companies in Kenya: A Case Study of Listed Cement Manufacturing Companies in Kenya” International Journal of Management and Commerce Innovations Vol. 3, Iss. 2, pp. 111-119. [2]. Gaur, V., Fisher, M. & Raman, A. (2005).” An econometric analysis of inventory turnover performance in retail services”. Management Science, vol.5,iss.2, pp.181–194. [3]. Krishnamurty K., “Private Investment Behaviour in India: A Macro Time Series Study”, Arthaniti, January 1964. [4]. Lal, A.B (1981), “Inventory Models and Problems of Price Fluctuation”, Shree Publishing House, New Delhi, 1981. | [5]. Lambrix, R.J and Singhvi, S.S (1979), “Managing the Working Capital Cycle”, Financial Executive, June 1979, pp. 32-41. [6]. NCAER, Structure of Working Capital, New Delhi, 1966. [7]. Panigrahi, Ashok K. (2013). Relationship between inventory management and profitability: An empirical analysis of Indian cement companies. Asia Pacific Journal of Marketing & Management Review, vol.2,iss.7, pp.107–120. [8]. Paithosh Verms(2010) “Inventory Management of Selected Shipyard Companies In India”, Saurashtra University. [9]. Pradeep Singh(2008),” Inventory and Working Capital Management- An Empirical Analysis”, The ICFAI Journal of Accounting and Research, Vol.VII, NO.2, pp.53-73. [10]. Srinivasa Rao Kasisomayajula(2014) “An Analytical Study on Inventory Management in Commercial Vehicle Industry in India”, International Journal of Engineering Research, Vol.3, Iss.6, pp.378-383. [11]. Suraj Narian Mathur(2010) “Working Capital Management of Cement Industry in India”, Saurashtra university. [12]. W.C.Singh,Elangbam Bindoni Devi(2014) “Liquidity Management- A Review of Relevant Literature”, Paripex Indian Journal of Reseach,vol.3,Iss.8,pp.90-92..
Chalam G V, Vijaya Lakshmi V "Inventory Management Practices in Cement Industry (A Study on Select Units in Andhra Pradesh)" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.85-88 2016
The present investigation for studying correlations and path analysis estimates for grain yield and yield contributing characters in maize was carried out at three locations and pooled analysis was carried out. Days to 50 per cent tasseling was significantly and positively correlated with days to 50 per cent silking and days to maturity and negatively correlated with plant height, ear length, ear girth, number of kernel rows per ear, number of kernels per row and grain yield per plant. Days to maturity was significant and negatively correlated with plant height, ear length, ear girth, number of kernel rows per ear, number of kernels per row, 100-seed weight and grain yield per plant. 100 seed weight exhibited significant positive association with plant height, ear height, ear length, ear girth, number of kernel rows per ear, number of kernels per row and grain yield per plant. The character grain yield per plant showed significant and negative correlation with days to 50 per cent tasseling , days to 50 per cent silking, days to maturity and positive correlation with plant height, ear height, ear length, ear girth, number of kernel rows per ear, number of kernels per row and 100-seed weight in pooled analysis. Path analysis revealed that days to maturity had direct negative genotypic effect on grain yield per plant and indirect negative contribution through days to 50 per cent silking, ear length, ear girth, number of kernels per row and 100-seed weight over locations. Pooled analysis revealed that the plant height had direct positive contribution whereas the days to 50 per cent silking, ear height, ear length, ear girth, number of kernels per row and 100-seed weight showed indirect positive contribution on grain yield per plant. 100-seed weight exhibited direct genotypic positive effect on grain yield per plant over locations while it had indirect positive influence through days to 50 per cent tasseling, ear height, ear length, ear girth and number of kernels per row over locations.
- Page(s): 89-93
- Date of Publication: 15 August 2016
- B. V. VaraprasadAgricultural Research Station, MADHIRA Professor Jayashankar Telangana State Agricultural University, Telangana, India.
- D. ShivaniAgricultural Research Station, MADHIRA Professor Jayashankar Telangana State Agricultural University, Telangana, India.
- G. Anil KumarAgricultural Research Station, MADHIRA Professor Jayashankar Telangana State Agricultural University, Telangana, India.
References
[1]. Dana Azad Abdulkhaleq and Sherwan Ismael Tawfiq. 2014. Correlation and path coefficient analysis of yield and agronomic characters among some maize genotypes and their F1 hybrids in a diallel cross. Journal of Zankoy Sulaimani- Part A, Special Issue.16:1-8. [2]. Kumar, G. P., Prashanth, Y., Reddy, V. N., Kumar, S. S and Rao, P. V. 2014. Character association and path coefficient analysis in maize (Zea mays L.). International Journal of Applied Biology and Pharmaceutical Technology. 5 (1): 257-260. [3]. Mahesh, N., Wali, M.C.,Gowda, M.V.C., Motagi, B. N and Nagaratna F. Uppinal.2013. Correlation and path analysis of yield and kernel components in maize. Karnataka Journal of Agricultural Science. 26 (2) : 306-307. [4]. Nataraj, V., Shahi, J. P and Agarwal,V. 2014a. Correlation and path analysis in certain inbred genotypes of maize (Zea Mays L.) at Varanasi. International Journal of Innovative Research & Development. 3 (1): 14-17. [5]. Raghu, B., Suresh, J., Sudheer Kumar, S and Saidaiah, P. 2011. Character association and path analysis in maize (Zea mays L.). Madras Agricultural Journal. 98 (1-3): 7-9. [6]. Ravi, V.M., Chikkalingaiah and Shailaja, H. 2012. Correlation study for protein content, grain yield and yield contributing traits in quality protein maize (Zea mays L.). Electronic Journal of Plant Breeding. 3(1):649-651. [7]. Reddy, R.V., Jabeen, F., Sudarshan, M.R and Rao, S.A. 2013. Studies on genetic variability, heritability, correlation and path analysis in maize (Zea mays L.) over locations. International Journal of Applied Biology and Pharmaceutical Technology. 4 (1): 195-199. [8]. Triveni Sharma., Ashwani Kumar., Dwivedi, S. C and Vyas, R. P.2014. Estimate of Genetic factors and Correlation analysis in Maize (zea mays L.). Plant Archives.14(1): 19-21. [9]. Wright, S. 1921. Correlation and Causation. Journal of Agricultural Research. 20: 257-287. [10]. Zarie, B., Kahrizi, D., Aboughadareh, A.P and Sadeghi, F. 2012. Correlation and path analysis for determining interrelationships among grain yield and related characters in corn hybrids (Zea mays L.). International Journal of Agriculture and Crop Sciences. 4 (20): 1519-1522.
B. V. Varaprasad, D. Shivani and G. Anil Kumar "Correlation and Path Coefficient Analysis for Determining Interrelationships among Grain Yield and Related Characters in Maize Hybrids (Zea mays L.)" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.89-93 2016
Marine herbivorous fishes (Acanthuridae - Surgeonfishes and Scaridae - Parrotfishes) play a significant role in the prevention of coral smothering and aiding in their resilience. Unaccountable herbivorous reef fishery and bioinvasion of exotic seaweed in corals pose a danger in the healthy status of corals. An attempt is made not only on the biodiversity of these fishes in coral reefs in India (Gulf of Kachchh; Lakshadweep islands; Ratnagiri, Malvan, Goa, Gulf of Mannar and Andaman and Nicobar islands); their fishery but also recommends to have long-term monitoring studies in herbivorous reef fishery in the management of corals in India.
- Page(s):94-100
- Date of Publication: 15 August 2016
- V. S GowriAU-KBC, MIT Campus, Anna University, Chennai – 600044, India
- I. Raja Rajasri PramiladeviAU-KBC, MIT Campus, Anna University, Chennai – 600044, India
- P. NammalwarAU-KBC, MIT Campus, Anna University, Chennai – 600044, India
References
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McClanahan,T.R, S.D.Donner, J.A.Maynard, M.A.MacNeil,N.A.J.Graham. 2012. Prioritizing key resilience factors to support coral reef management in a changing climate. PLoS ONE 7: e42884. doi: 10.1371/journal.pone.0042884 [62]Wood,E. 2001. Collection of coral reef fish for aquaria: Global trade, conservation issues and management strategies. Marine Conservation Society, UK: 60 p.
V. S Gowri, I. Raja Rajasri Pramiladevi, P. Nammalwar "Biodiversity of Selected Herbivorous Coral Reef Fishes and Their Role in Coral Management, India" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.94-100 2016
Geopolymer concrete (GPC) is becoming a sustainable concrete when comparing to ordinary Portland cement (OPC) concrete. This investigation is mainly focused on performance of fly ash (FA) and ground granulated blast furnace slag (GGBS) based GPC in acid environment. The compressive strength, weight and ultrasonic pulse velocity (UPV) values of GPC mixes (FA100-GGBS0; FA50-GGBS50; FA0-GGBS100) were determined after 28 days of immersion in 3% sulphuric acid (H2SO4). In this study, sodium silicate (Na2SiO3) and sodium hydroxide (NaOH) solution is used as alkaline activator. Specimens were cast and cured for different curing periods at ambient room temperature and then studied the performance of GPC in acid environment. Test results revealed that the increased level of GGBS increased the compressive strength and ultrasonic pulse velocity values of GPC at all curing periods. The percentage of reduction in weight, compressive strength and pulse velocity values is decreased with the increased replacement of GGBS.
- Page(s): 101-104
- Date of Publication: 15 August 2016
- J. Guru JawaharDepartment of Civil Engineering, Annamacharya Institute of Technology & Sciences, Tirupati, India
- D. LavanyaDepartment of Civil Engineering, Annamacharya Institute of Technology & Sciences, Tirupati, India
- C. SashidharDepartment of Civil Engineering, Jawaharlal Nehru Technological University Anantapuram, India
[1]. Davidovits J. Geopolymers: Man-Made Geosynthesis and the Resulting Development of Very Early High Strength Cement, Journal of Materials Education, 16 (1994) 91-139. [2]. Nath P, Sarker PK. Effect of GGBS on setting, workability and early strength properties of fly ash geopolymer concrete cured in ambient condition, Construction Building Materials, 66 (2014) 163-171. [3]. Sarker PK, Kelly S, Yao Z. Effect of exposure on cracking, spalling and residual strength of fly ash geopolymer concrete, Materials and Design, 63 (2014) 584-592. [4]. Deb P, Nath P, Sarker PK. The effects of ground granulated blast-furnace slag blending with fly ash and activator content on the workability and strength properties of geopolymer concrete cured at ambient temperature, Materials and Design, 62 (2014) 32-39. [5]. .Davidovits J. Geopolymers: Inorganic Polymeric New Materials, Journal of Thermal Analysis, 37 (1991) 1633-1656. [6]. Davidovits J. Global Warming Impact on the Cement andAggregate Industries, World Resource review, 6 (1994) 263-278. [7]. Palomo SA, Grutzeck MW, Blanco MT. Alkali-activated fly ashes – A cement for the future, Cement and Concrete Research, 29 (1999) 1323-1329. [8]. Palomo SA, Femandez-Jimenez A. Alkaline activation of fly ashes: NMR study of the reaction products, Journal of the American Ceramic Society, 87 (2004) 1141–1145. [9]. Gourley JT. Geopolymers, opportunities for environmentally friendly construction materials, conference, adaptive materials for a modern society, Sydney, Institute of materials engineering Australia, Nos. (15-26), 49(2003) 1455-61. [10]. Guru Jawahar J, Mounika G. Strength properties of fly ash and GGBS based geopolymer concrete, Asian Journal of Civil Engineering, 17(1) (2016) 127-135. [11]. Sujatha T, Kannapiran K, Nagan S. Strength assessment of heat cured geopolymer concrete slender column, Asian Journal of Civil Engineering, 13 (2012) 635-646. [12]. Anuradha R, Sreevidya V, Venkatasubramani R, Rangan BV. Modified Guidelines for Geopolymer Concrete Mix Design Using Indian Standard, Asian Journal of Civil Engineering, 13 (2012) 353-364. [13]. Sreenivasulu C, Guru Jawahar J, VijayaSekhar Reddy M, Pavan Kumar D. Effect of Fine Aggregate Blending on Short-Term Mechanical Properties of Geopolymer Concrete, Asian Journal of Civil Engineering, 17(5) (2016) 537-550. [14]. Sreenivasulu C, Ramakrishnaiah A, Guru Jawahar J. Mechanical properties of geopolymer concrete using granite slurry as sand replacement, International Journal of Advances in Engineering and Technology, 8(2) (2015) 83-91. [15]. Vijai K, Kumutha R, Vishnuram BG. Effect of inclusion of steel fibres on the properties of geopolymer concrete composites, Asian Journal of Civil engineering, 13 (2012) 377–385. [16]. ASTM C 618:2003. Standard specification for coal fly ash and raw or calcined natural pozzolan for use in concrete. [17]. IS 516 (1991). Methods of tests for strength of concrete, Bureau of Indian Standards, New Delhi, India. [18]. ASTM C 597-02, Standard test methods for pulse velocity through concrete. ASTM International, West Conshohocken, USA, 2002. [19]. ASTM C 267-01, “Standard Test Methods for chemical resistance of mortars, grouts and monolithic surfacing and polymer concretes.” ASTM International, West Conshohocken, USA. [20]. Siddiqui KS. Strength and Durability of Low-Calcium Fly Ash-based Geopolymer Concrete. Final Year Honours Dissertation, The University of Western Australia, Perth, 2007.
J. Guru Jawahar, D. Lavanya, C. Sashidhar "Performance of Fly Ash and GGBS Based Geopolymer Concrete in Acid Environment" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.101-104 2016
Rework is one of the main issues in reverse logistics which plays an important role in today's business environment. Utilizing reverse logistics coincides with the objective to minimize the impact of most of these environmental issues. There are many environmental issues that may arise from the production and transportation of products such as air emission, solid waste disposal, energy consumption and depletion of natural resources. This paper explores an screening effect on manufacturing and remanufacturing inventory models during carbon emission and energy effects. Both manufacturer and remanufacturer makes arrangement for screening or disposal of the damaged products. And also discuss about need of bio-packaging material to reduce social cost. A numerical example is given to illustrate the solution procedure for the model.
- Page(s): 105-109
- Date of Publication: 15 August 2016
- W. RithaDepartment of Mathematics, Holy Cross College (Autonomous), Tiruchirapalli – 620002, India.
- S. PoongodisathiyaDepartment of Mathematics, Holy Cross College (Autonomous), Tiruchirapalli – 620002, India.
References
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W. Ritha, S. Poongodisathiya "Bio-Packaging and Screening Effect On Manufacturing-Remanufacturing Inventory Model with Carbon Emission and Energy Effects" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.105-109 2016
Objective: The worldwide prevalence of obesity mandates a widely accessible anthropometric tool to categorize adiposity that can best predict associated health risks. The body adiposity index (BAI) was designed as a single equation to predict body adiposity in pooled analysis of both genders. We compared body adiposity index (BAI), body mass index (BMI), and other anthropometric measures (waist circumference, waist to hip ratio, waist to height ratio, including percent body fat from skinfold measures, in their correlations with cardio metabolic risk factors. We also compared BAI with BMI to determine which index is a better predictor of percentage body fat. Methods: The cohort consisted of 97 subjects (53 men, 44 women). We calculated correlations of BAI, BMI, and other anthropometric measurements (percentage body fat measured from skinfold measures, waist circumference, waist to height ratio, waist to hip ratio) with lipid parameters, cardiovascular traits (lipid parameters including total cholesterol, LDL, HDL and triglycerides) and blood. Correlations between each anthropometric measure and cardiometabolic trait were compared. Results: Results of the study indicated that BAI was correlated more strongly than BMI with percentage body fat from sum of skinfold measures (r = 0.579 versus r = 0.368). BAI had weak correlations with cardiovascular risk factors than other adiposity indexes (BMI, WC, WHR and WHtR). The best correlations were found for WC and WHtR. BAI did not outperform BMI in its associations with any cardiometabolic trait. Conclusions: The adiposity indexes that include the waist circumference (WHtR and WC) may be better candidates than BAI and BMI to evaluate metabolic and cardiovascular risk in both clinical practice and research. Key words: BAI, Anthropometric indices, cardiovascular disease risk, Adiposity Abbreviations: BAI – Body Adiposity Index, BMI – Body Mass Index, WC – Waist Circumference, WHR – Waist – Hip ratio, WHtR – Waist-height ratio, CVD – Cardiovascular disease
- Page(s): 110-131
- Date of Publication: 15 August 2016
- M RegiPh.D Scholar, Research and Development Centre, Bharathiar University, Coimbatore, India
- N SharmaDepartment of Nutrition and Dietetics, Mount Carmel College, No.58, Palace ground, Bengaluru, India
References
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Lancet. 2012 ; 380 (9859) : 2224-60 [65]. Lin WY, Lee LT, Chen CY, Lo H, Hsia HH, Liu IL, Lin RS, Shau WY, Huang KC. 2002. Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes Relat Metab Disord 26(9):1232_/1238. [66]. Lopez AA, Cespedes ML, Vicente T, Tomas M, Bennasar-Veny M, et al. (2012) Body adiposity index utilization in a Spanish Mediterranean population: comparison with the body mass index. PLoS One 7: e35281. [67]. Loscalzo, Joseph; Fauci, Anthony S.; Braunwald, Eugene; Dennis L. Kasper; Hauser, Stephen L; Longo, Dan L. (2008). Harrison's principles of internal medicine. McGraw-Hill Medical. ISBN 0-07-146633-9. [68]. Marrugat J, Solanas P, D‘Agostino R, Sullivan L, Ordovas J, et al. (2003) [Coronary risk estimation in Spain using a calibrated Framingham function]. Rev Esp Cardiol 56: 253–261. [69]. 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A comparison of proxy measures of abdominal obesity in Chinese, European and South Asian adults. Diabet Med 16(10):853_/860. [75]. Piers LS, Soares MJ, Frandsen SL, O‘Dea K. Indirect estimates of body composition are useful for groups but unreliable in individuals. Int J Obes Relat Metab Disord. 2000; 24:1145–1152. [PubMed:11033983] [76]. Poirier P, Eckel RH. The heart and obesity. In: Fuster V, Alexander RW, Rep. 2002;4:448–453. Teixeira PJ, Sardinha LB, Going SB, Lohman TG. Total and regional fat and serum cardiovascular disease risk factors in lean and obese children and adolescents. Obes Res. 2001;9:432– 442. [77]. Poirier P, Giles TD, Bray GA, et al. (May 2006). "Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss". Arterioscler. Thromb. Vasc. Biol.26 (5): 968-76. doi:10.1161/01.ATV.0000216787.85457.f3. PMID 16627822 [78]. Pouliot M-C, Despre´s J-P, Lemieux S, et al. Waist circumference and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women. Am J Cardiol 1994; 73: 460–8. [79]. Pouliot MC, Despres JP, Nadeau A, Moorjani S, Prud‘homme D, Lupien PJ Tremblay A, Bouchard C. Visceral obesity in men. Associations with glucose tolerance, plasma insulin, and lipoprotein levels. Diabetes 1992;41:826–834. [80]. Prentice AM, Jebb SA. Beyond body mass index. Obes. Rev. 2001; 2:141–147. [PubMed:12120099] [81]. Rahman M, Berenson AB. Accuracy of current body mass index obesity classification for white, black, and Hispanic reproductive-age women.Obstet Gynecol. 2010; 115:982–988. [PubMed: 20410772] [82]. Raitakari OT, Juonala M, Viikari JS. Obesity in childhood and. vascular changes in adulthood: insights into the Cardiovascular Risk in Young Finns Study. Int J Obes (Lond.) 2005; 29 (Suppl 2) : S101-4. [83]. Richelsen B, Pedersen SB. 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"The predictive value of different measures of obesity for incident cardiovascular events and mortality.". The Journal of Clinical Endocrinology & Metabolism 95(4): 1777–1785. doi:10.1210/jc.2009-1584. PMID 20130075. [88]. Seidell 2005 p.9 [89]. Seidell JC, Andres R, Sorkin JD, Muller DC. The sagittal waist diameter and mortality in men: the Baltimore Longitudinal Study on Aging. Int J Obes Relat Metab Disord 1994;18:61–67. [90]. Seidell JC, Perusse L, Despres JP, Bouchard C. Waist and hip circumferences have independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study. Am J Clin Nutr 2001;74:315–321. [91]. Sivanandam S, Sinaiko AR, Jacobs DR Jr, Steffen L, Moran A, Steinberger J. Relation of increase in adiposity to increase in left ventricular mass from childhood to young adulthood. Am J Cardiol 2006; 98 : 411-5. [92]. Snijder MB, Nicolaou M, van Valkengoed IG, Brewster LM, Stronks K (2012) Newly proposed body adiposity index (bai) by Bergman et al. is not strongly related to cardiovascular health risk. Obesity (Silver Spring) 20: 1138–1139. [93]. Tanaka H, Clevenger CM, Jones PP, Seals DR, DeSouza CA (1998) Influence of body fatness on the coronary risk profile of physically active postmenopausal women. Metabolism 47: 1112–1120. [94]. Tillotson, J. L., Corder, D. D., Duchene, A. G., Grambsch, P. V. & Wenz, J. (1986) Quality control in the Multiple Risk Factor Intervention Trial Nutrition Modality. Controlled Clin. Trials. 7:66S-90S. [95]. Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med 1998; 338 : 1650-6. [96]. UKPDS Group. 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M Regi, N Sharma "Body Adiposity Index versus Body Mass Index and Other Anthropometric Traits as Correlates of Cardiovascular Disease" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.110-131 2016
Buildings are nowadays built as high rise that has multiple floors above ground aiming to increase floor area. The common practice of high rise building construction is a framed structure i.e., building of reinforced cement concrete with beams and columns, with slab resting on beams. Also nowadays, new types of construction techniques are introduced which include steel structures, in which beams and columns are made of pre-fabricated steel sections. The changes in the method adopted for construction influences various parameters of the building. These changing aspects can be studied by modelling the multi-storied building under the effect of seismic and wind forces respectively and comparing various parameters like the displacements in the building, column forces and moments generated in the building. This paper tries to find out the changes in the various structural parameters of these different types of construction techniques on symmetrical G+10, G+15 and G+20 multi-storied buildings under the effect of seismic and wind forces respectively. It discusses the analysis & design procedure adopted for the evaluation of symmetrical high rise multi-storied buildings G+10, G+15 and G+20 under effect of Wind and Earthquake forces. In these buildings, R.C.C. and Steel are considered to resist lateral forces resisting system. This study examines G+10, G+15 and G+20 storied buildings using STAAD.ProV8i. Total 12 numbers of various models are analysed& designed & it proves thatsteel building is better option. Analytical results are compared to achieve the most suitable resisting system.
- Page(s): 132-137
- Date of Publication: 15 August 2016
- Avani MandlikFinal Year Student (M.Tech. SDD), Department of Civil Engineering, Sushila Devi Bansal College of Engineering, Indore, India
- S K SharmaProfessor, Department of Civil Engineering, Sushila Devi Bansal College of Engineering, Indore, India
- Shahjad MohammadProfessor, Department of Civil Engineering, Acropolis Technical Campus, Indore, India
References
[1]. Sanhik Kar Majumder and Prof. Priyabrata Guha,April 2014, “Comparison between Wind and Seismic Load on Different Types of Structures”, International Journal of Engineering Science Invention, Vol.3, Issue 4, Pages 41-54 [2]. Bimala Pillai and Priyabrata Guha, 2015,“Comparison between RCC and Steel Structure with Wind and Earthquake Effect using Staad Pro” ,International Journal of Applied Research, Vol.6, Issue 1, Pages 28-33 [3]. Khaled M. Heiza and Magdy A. Tayel, March 2012, “Comparative Study of The Effects of Wind and Earthquake Loads on High-rise Buildings”, An international journal for the science and engineering of concrete and building materials, Vol. 3, Issue 1 [4]. Rupali Kavilkar and Shweta Patil, February 2014, “Study of High Rise Residential Buildings in Indian Cities (A Case Study –Pune City)”, IACSIT International Journal of Engineering and Technology, Vol. 6, Issue 1 [5]. Bhavin H. Zaveri, Jasmin A. Gadhiya and Hitesh K. Dhameliya,January 2016, “ A Review on the Comparative Study of Steel, RCC and Composite Building”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 1 [6]. Shashikala. Koppad and Dr. S.V.Itti, November 2013,“Comparative Study of RCC and Composite Multi storeyed Buildings”, International Journal of Engineering and Innovative Technology (IJEIT) Vol. 3, Issue 5 [7]. Baldev D. Prajapati and D. R. Panchal, Sept. 2013, “Study of Seismic and Wind effect on Multi storey RCC, Steel and Composite Building”, International Journal of Advances in Engineering & Technology, Vol. 6, Issue 4, Pages 1836-1847 [8]. Syed Rehan and S.H.Mahure, June 2014, “Study of Seismic and Wind Effect on Multi Storey R.C.C. Steel and Composite Building”,International Journal of Engineering and Innovative Technology (IJEIT) Vol. 3, Issue 12 [9]. IS: 875 (Part 1) - 1987, “Indian Standard Code of Practice for design loads for building and structures, Dead Loads” Bureau of Indian Standards, New Delhi [10]. IS: 875 (Part 2) - 1987, “Indian Standard Code of Practice for design loads for building and structures, Live Loads”, Bureau of Indian Standards, New Delhi [11]. IS: 875 (Part 3) - 1987, “Indian Standard Code of Practice for design loads (Other than earthquake) for building and structures, Wind Loads”, Bureau of Indian Standards, New Delhi. [12]. IS: 1893 (Part 1) - 2002, “Criteria for Earthquake Resistant Design of Structures -General Provisions and Buildings”, Bureau of Indian Standards, New Delhi, India. [13]. IS 456:2000, “Indian Standard plain and reinforced concrete-Code of Practice”, Bureau of Indian Standards, New Delhi, 2000. [14]. IS 800(2007), “Indian Standards Code of Practice for General Construction in Steel”, Bureau of Indian Standards, New Delhi [15]. Bungale S. Taranath, May 2012, “Wind and Earthquake resistant buildings: Structural analysis and design”, CRC press, 2nd edition.
Avani Mandlik, S K Sharma, Shahjad Mohammad "Behaviour of Symmetrical RCC and Steel Framed Structures Under Seismic and Wind Loading" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.132-137 2016
A Study was undertaken to check the ground water quality in some villages of area near Kota city. Fifteen samples were collected from different tube wells & wells of the area and analysed in Laboratory of the institute for pH, EC, F- and NO3- contents by standard methods. The study reveales that only one sample of Meghwall well (Bhadana) was found safe (F- = 1.5ppm) from fluoride content point of view. Rests of all are having fluoride content > 1.5 ppm and need treatment. However pH, E.C. & NO3- of all other samples were found normal for irrigation as well as domestic purposes.
- Page(s): 138-140
- Date of Publication: 15 August 2016
- Dr. Trapti SharmaMaharishi Arvind International Institute of Technology, Kota, Rajasthan, India
- Prof. R. C. GaurMaharishi Arvind International Institute of Technology, Kota, Rajasthan, India
- Dr. R. P. NagarMaharishi Arvind International Institute of Technology, Kota, Rajasthan, India
- Lokesh ParetaMaharishi Arvind International Institute of Technology, Kota, Rajasthan, India
References
[1]. Brown, E., Skougstad, M. W., and Fishman, M. J., (1974). Method for collection and analysis of water sample for dissolved minerals and gases, Washington, DC: US Department of Interior. [2]. its Shailaja, K., Johnson, M. E., (2007). Fluorides in ground water and impact on health, Journal of Environmental Biology. [3]. Chouhan, S., and Flora, S. J. S., (2010). Arsenic and Fluoride: Two Major Groundwater Pollutants, Indian Journal of Experimental Biology. [4]. Godfrey, S., Wate, S., Kumar, P., Swami, A., Rayalu, S., and Rooney, R., (2006). Health-based risk targets for fluorosis in tribal children of rural Madhya Pradesh. In India 32ndWEDC international conference. Colombo, Sri Lanka, 2006. [5]. Canter, L.W., (1987). Nitrates in groundwater from agricultural practices-causes, prevention and clean up. July 1987, Report to United Nations Development Program, University of Oklahoma, Norman, Oklahoma . [6]. Camargo, J.A. and A. Alonso, (2006). Ecological and toxicological effects of inorganic nitrogen pollution in aquatic ecosystems: A global assessment. Env. Int.,32. [7]. World Health Organization. IPCS., (2002) Fluorides: International Programme on Chemical Safety (Environmental Health Criteria 227) . [8]. Beg, M.K., (2009). Geospatial Analysis of Fluoride Contamination in Ground Water of Tamnar Area, Raigarh District, Chhattisgarh State. [9]. Ayoob, S., and Gupta, A. K., (2006). Fluoride in drinking water: A review on the status and stress effects. Critical Reviews in Environmental Science and Technology. [10]. Central Ground Water Board, Ministry of Water Resources, Government of India, (2007). Ground Water Scenario, Jaipur District, Rajasthan, CGWB, Jaipur. [11]. Arif, M., Hussain, I., Hussain, J., Kumar, S., (2012). Fluoride distribution in ground water and survey of dental fluorosis in Villages of Didwana Tehsil of Nagaur District of Central Rajasthan, India. India Water Week2012- Water, Energy and Food Security. [12]. Hardman, M. C., Davies, G. M., Duxbury, J. T., Davies, R. M., A cluster randomized controlled trial to evaluate the effectiveness of fluoride varnish as a public health measure to reduce caries in children. [13]. WHO, “Fluoride in Drinking-Water,” IWA Publishing, London, 2006. [14]. Czarnowski, W., Wrzesn iowska, K. , and Krechniak, J., iowska and Krechniak, J., (1996). “Fluoride in Drinking Water and Human Urine in Northern and Central Poland,”Science of the Total Environment, WHO, “Fluoride in Drinking-Water,” IWA Publishing, London, 2006. [15]. Maliyekkal, . S. M., Shukla, S., Philip, L., and Nambie, I. M., (2008). Enhanced Fluoride Removal from Drinking Water by Magnesia-Amended Activated Alumina Granules, Chemical Engineering Journal.
Dr. Trapti Sharma, Prof. R. C. Gaur, Dr. R. P. Nagar, Lokesh Pareta "Evaluation of Ground Water Quality with Special Reference to Fluoride and Nitrate in Area near by Kota" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.138-140 2016
The purpose of this paper is to retrieve the images from a database using texture and color features of an image. Features like Gray Level co-occurrence Matrix (GLCM) with color features are extracted in RGB, HSV, and YcBcR color spaces. Images are retrieved using similarity measures with the help of Euclidean, Manhattan and Canberra distances. Wavelet decomposition method is used to pre-process the images in both training and testing phase. Accuracy of 80% is achieved when color features are added to texture features using Manhattan distance and Canberra distances.
- Page(s): 141-144
- Date of Publication: 15 August 2016
- Savita KamaladinniDepartment of Information Science and Engineering, (M. Tech) SDM College of Engineering & Technology, Dharwad, Karnataka, India
- Anita DixitAssistant Professor, Department of Information Science and Engineering SDM College of Engineering & Technology, Dharwad, Karnataka, India
References
[1]. Alphonsa Thomas et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 2014, 7847-7850. [2]. Vaishali D. Dhale, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 10, October 2012. [3]. T. Ojala, M. Pietikainen, and T. T. Maenpaa, “Multiresolution gray-scale and rotation invariant texture classification with Local Binary Pattern,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, 2002. [4]. M.Rahimi and M.Moghadam, “A texture based image retrieval approach using self- organizing map pre-classification," IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 415-420, December 2011. [5]. Miroslav Benco, Robert Hudec, “Novel Method for Color Textures Features Extraction Based on GLCM” Radio engineering, Vol. 16, NO. 4, December 2007. [6]. Ruziana Mohamad Rasli, T Zalizam T Muda, Yuhanis Yusof, Juhaida Abu Bakar,” Comparative Analysis of Content Based Image Retrieval Technique using Color Histogram. A Case Study of GLCM and KMeans Clustering”. Intelligent Systems, Modelling and Simulation (ISMS), 2012 .Pages 283-286. [7]. Bingbing Liu, Soo Chin Liew,” Texture retrieval using grey-level cooccurrence matrix for Ikonos panchromatic images of earthquake in Java 2006”.Geoscience and Remote Sensing Symposium, 2007, Pages 286289. [8]. R.M. Haralick, K. Shanmugam, and L. Dinstein, “Textural Features for Image Classification,” IEEE TSMC, vol. 3, pp. 610-621, 1973. [9]. Jing YI Tou, Yong Haur Tav, Phooi Yee Lau, "Recent trends in texture classification: A review”, Symposium on Progress in Informaiton & Communication Technology, 2009 pp.63-68. [10]. S. Selvarajah and S. R. Kodiruwakk, "Analysis and Comparison of Texture Based Image Retrieval”, International Journal of Latest Trends in Computing, Vol. 2, Issue 1, March 2011,pp. 108-113.
Savita Kamaladinni, Anita Dixit "Image Retrieval Using Color and Texture Features" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.141-144 2016
This paper presents an approach for optimal reconfiguration of Radial Distribution Network with laterals for minimal loss using the Tellegen theorem. An effective algorithm using the basic Tellegen theorem is used to find the power lossesand a standard reconfiguration technique is applied to find economical solution. The Tellegen theorem concept is used to a distribution network with main feeder and laterals and a non-trigonometric and no higher order expressions objective function is used for the load flow solution. The feeder reconfiguration problem chooses the on/off status of the switches in a distribution network in order to minimize the power losses. A heuristic search consists of repeated application of branch exchange, where some loads are transferred from one feeder to another feeder while maintaining the radial structure of the network, until power losses are minimum.The present technique is applied on a 33 bus system and MATLAB2013 is used.
- Page(s): 145-149
- Date of Publication: 15 August 2016
- G. PranavaAssistant Professor, Department of EEE, Vasavi College of Engineering, Hyderabad, India
- Dr. Ravindranath GurramProfessor, Department of EEE, Matrusri Engineering College, Hyderabad, India
- Dr. K. Ramesh ReddyProfessor, Department of EEE, G. Narayanamma Institute of Technology and Science, Hyderabad, India
References
[1]. S.Civanlar, J.J.Grainger, H.Yin, S.S.H.Lee”Distribution feeder reconfiguration for loss reduction” IEEE Transaction on Power Delivery, Vol 3, No.3,July 1998, pp 1217- 1223. [2]. Mesus E. Baran, Felix F.Wu, “Network Reconfiguration in Distribution Systems for Loss reduction and load balancing”, IEEE transactions on Power Delivery, Vol.4, No.2,April 1989,pp 1401-1407. [3]. Hugh Rudnick, Ildefonso Harnisch, Raaul Sanhueza, ”Reconfiguration of Electtric Distribution Systems”, Revista Facultad De Ingenieria,UTA(Chile),Vol 4,1997,pp43-48. [4]. Hernan Prieto Schmidt, Nathan Ida, Nelson Kagan and Joao Carlos Guaraldo, “Fast Reconfiguration of Distribution Systems considering loss minimization”, IEEE transactions on Power Systems, Vol.20,No.03,August 2005,pp 1311-1319. [5]. Farzad H, Bahman A, Keyvan P, “A new technique in distribution network reconfiguration for loss reduction and optimum operation”,20th International Conference on Electricity Distribution, Prague, 8-11,June 2009, CIRED,Paper 0475. [6]. E.Dolatdar, S.Soleymani, B.Mozafari, ”A new distribution network reconfiguration approach using a Tree model”,World Academy of Science, Engineering and Technology, Vol. 3, 2009-10-26,pp 1134-1141. [7]. R. Srinivasa Raoand S.V.L. Narasimham, “A new heuristic approach foroptimal network reconfiguration of distribution systems”, International Journal of Applied Sccience, Engineering and Technology, 5.1.2009, pp15-21. [8]. Tamer M .Khalil and Alexander V.G,”Reconfiguration for loss reduction of distribution systems using selective particle swarm optimization”, International Journl of Multidisciplinary Sciences and Engineering,Vol.3,No.6,June 2012, pp 16-21.
G. Pranava, Dr. Ravindranath Gurram, Dr. K. Ramesh Reddy "Reconfiguration of Radial Distribution Network using Tellegen Theorem" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.145-149 2016
I. MOTIVATION – MEANING AND DEFINITION The term “motive” is derived from the Latin word , “mover” which means to move. All types of motivations have this property in common. They all move the organism. Motivation is mainly psychological. Motivation in an organisation is the willingness of an employee to respond to the organizational requirements. Motivation is the willingness to exert high levels of effort towards organizational goals conditioned by the efforts and ability to satisfy some individual need. Importance of motivation Motivated employees are always looking for better ways to do a job. This statement can apply to corporate strategists & to production workers. When people actively seek new ways of doing things, they usually find them. It is the responsibility of managers to make employees look for better ways of doing their jobs. An understanding of the nature of motivation is helpful in this context.Advantages of Motivation 1) High performance level. 2) How employee turn over and observation 3) Make employees to accept changes. 4) Development of creative talents
- Page(s): 150-153
- Date of Publication: 15 August 2016
- Dr. S. KrishnarajAssistant Professor, Dept of Management, Dr NGP Arts and Science College Coimbatore, India
References
[1]. DEVIS KEITH – “Human Behaviour at Work”, Tata McGraw; Hill book Company; New Delhi; (1975). [2]. FLIPPO.B.EDWIN – “Personnel Management”; Tokyo; Mc Graw Hill international edition; (1984). [3]. KOTHARI.C.R – “Research Methodology and Techniques”; Wishwa Prakashan; New Delhi; (2002). [4]. V.S.P. RAO, - „Human Resource Management‟, Sultan Chand & Sons, New Delhi, (1999).
Dr. S. Krishnaraj "Motivation among Select IT Employees in Coimbatore" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.150-153 2016
Fibre length is an important factor in determining the quality of ring spun yarn. Various parameters have been developed to characterize cotton fibre length in the past decades. This study was carried out to investigate the effects of these parameters and their combinations on yarn properties. The present work in which the fibre length varied, keeping all the other parameters same, has revealed the existence of an optimum fibre length for achieving the best yarn quality. For this study trials have been conducted to justify the yarn quality by changing the fiber length, yarn were evaluated by checking the sample on AFIS tester and UT3 tester and to make comparison between them, the trials have given results i.e. the RKM in yarn increased 5% in relation with previous yarn quality which have been channelized up to yarn stage.
- Page(s): 154-156
- Date of Publication: 15 August 2016
- R. D. ParsiCentre for Textile Functions, SVKM’S, NMIMS, MPSTME, Shirpur, India
- Madhuri V. KakdeCentre for Textile Functions, SVKM’S, NMIMS, MPSTME, Shirpur, India
- Kuldip PawarCentre for Textile Functions, SVKM’S, NMIMS, MPSTME, Shirpur, India
- R. S. Police PatilAssistant Professor, Gnanamani College of Technology, Namakkal, India
References
[1]. S.P.Mishra, (2005); Fiber Science and technology; New age international ltd publishers. [2]. Yiyun Cai et.al. A Comparative Study of the Effects of the Cotton Fibre Length Parameters on Modeling Yarn Properties, Textile Research Journal, June 2013, Vol.83, no.9, p 961-970. [3]. Mishu Zeidman et.al, Influence of Fibre Length Distribution on Strength Efficiency of Fibers in Yarn, Textile Research Journal, March2002, Vol.72, no.3 , p216-220. [4]. Ochola, J. et.al. Study on the Influence of Fiber Properties on Yarn Imperfections in Ring Spun Yarns, Asian Journal of Textile; September 2012, Vol. 2 Issue 3, p32 [5]. Fawkia F. Et.al. Effect of Egyptian cotton Fiber Length Distribution on Yarn Properties, June 2007. [6]. Lord, E., (1961), ), The Characteristics of Raw Cotton, Manual of Cotton Spinning, A. F. W. Coulson and M. Tordoff, Eds. Vol. 2, Part 1, The Textile Institute and Butterworth &Co .. Manchester, UK. [7]. http://www.rieter.com/cn/rikipedia/articles/rotor-spinning/applications-engineering/fiber-properties/fiber-length/ [8]. Arindam Basu, yarn structure – properties relationship, Indian journal of fibre & Textile research, September 2009, Vol. 34, p287-294
R. D. Parsi, Madhuri V. Kakde, Kuldip Pawar, R. S. Police Patil "Influence of Fibre Length on Ring Spun Yarn Quality" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.154-156 2016
Dyeing is a process of applying coloring matter directly on fiber, yarn or fabric without any additives. Natural dyes were used only for coloring of textiles from ancient times till the nineteenth century. As the name suggests, natural dyes are derived from natural resources. Coloring materials obtained from natural resources of plant, animal, mineral, and microbial origins were used for coloration of various textile materials.Today is the world of most scientific and advanced level of dyeing. There are huge numbers of process to do coloration. Natural and man-made colors are also used. In this paper, the natural dyes are extracted and fabric dyeing is analyzed by applying dye on 100% pure cotton. At first stage we extract dye from Butea Monosperma. This dye was extracted with the help of boiling method. We find out Yellow color from Butea monosperma. The fabric dyed with extracted dye by using alum as a mordant. The dyed fabric tested for rubbing fastness, washing fastness, perspiration fastness, etc.
- Page(s): 157-161
- Date of Publication: 15 August 2016
- Prof. A. M. DaberaoAssistant Professor, CTF, MPSTME, SVKMs, NMIMS, Shirpur Campus, Dist. Dhule, Maharashtra, India
- Prof. P. P. KolteAssistant Professor, CTF, MPSTME, SVKMs, NMIMS, Shirpur Campus, Dist. Dhule, Maharashtra, India
- Prof. R. N. TurukmaneAssistant Professor, CTF, MPSTME, SVKMs, NMIMS, Shirpur Campus, Dist. Dhule, Maharashtra, India
References
[1]. Ibrahim AN, El-Zairy WM, El-Zairy MR, Ghazal HA, “Enhancing the UV-protection and antibacterial properties of Polyamide-6 fabric by natural dyeing”Textiles and Light Industrial Science and Technology, Volume 2, Issue 1, January 2013,36–41. [2]. Adeel S, Ali S, Bhatti Iand ZsilaF, “Dyeing of Cotton Fabric Using Pomegranate (Punicagranatum) Aqueous Extract” Asian J.Chem.,Vol. 21, No. 5 2009, 3493-3499. [3]. Aminoddin and Haji” Functional Dyeing of Wool with Natural Dye Extracted from Berberis Vulgaris Wood and RumexHymenosepolus Root As Biomordant” Iran J.Chem.Chem. Eng. Vol. 29, No. 3, 2010, 55-60 [4]. Goodarzian H. and Ekrami E. “Wool Dyeing with Extracted Dye from Pomegranate (PunicaGranatum L.) Peel” World Applied Science Journal, Vol. 8, 2010, 1387-1389. [5]. Kulkarni S.S, Gokhale A.V, Bodake U.M, Pathade G.R, “Cotton Dyeing with Natural Dye Extracted from Pomegranate (Punicagranatum) Peel”, Universal Journal of Environmental Research and Technology, 2011,Volume1, Issue 2: 135-139. [6]. M.D. Teli, R. Paul and P.D. Pardehsi, “Natural dyes: Classification, chemistry and extraction methods Part 1-Chemical classes, extraction methods and future prospects”J. Colourage, 2000, 43-48. [7]. P.S. Vankar, A. Mishra, V. Tiwari and B. Ghorpade, “Dyeing of cotton fabric using pomegranate (Punicagranatum) aqueous extract”, Asian Textile J., Vol. 8, 2001, 30. [8]. M.L. Gulrajani, R. Srivasatava and M. Goel, “Color gamut of natural dyes on cotton yarns”, J. Color Technol., Vol.1, 2001, 117. [9]. M. L. Gulrajani, “Natural Dyes-Part I: Present Status of Natural Dyes” Colourage, Vol. 46, July 1999, 19-28. [10]. D. Gupta, “Mechanism of Dyeing Synthetic Fibres with Natural Dyes". Colourage, Vol. 47, March 2000, 23- 26. [11]. R. Raisanen, P. Nousiainen, and P. H., “Hynninen. Emodin and Dermocybin Natural Anthraquinones as Mordant Dyes for Wool and Polyamide”, Text. Res. J., Vol. 71, 2001, 1016-1022. [12]. H. T. Lokhande, and V. A. Dorugade, “Dyeing Nylon with Natural Dyes” Am. Dyestuff Rep., Vol. 88,February 1999, 29-34. [13]. Siva R., “Status of natural dyes and dyeyielding plants in India”, Current Science, Vol. 92, Issue 7, 2007, 916-925. [14]. Saxena S & Raja ASM, “Natural Dyes: Sources, Chemistry, Application and Sustainability Issues”, In Muthu SS ed. “Textile Science and Clothing Technology”, 2014, 37-80. [15]. “Fastness properties Assessment on Dyed fabrics ” http://nptel.ac.in/courses/116104046/20.pdf [16]. “Colour Fastness To Rubbing” http://www.texanlab.com/documents/downloads/4.pdf
Prof. A. M. Daberao, Prof. P. P. Kolte, Prof. R. N. Turukmane "Cotton Dying with Natural Dye" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.157-161 2016
Major requirement in the Mobile Ad hoc NETworks (MANETs) is that all the mobile nodes should cooperate with each other so that the proper communication among nodes can be established. But this cannot be done if malicious nodes are present in the network. This leads to the interruption in the smooth communication among nodes. Detecting Malicious node in MANETs is a challenge. This Paper present a feasible solution to detect malicious node causing Black Hole and Gray Hole attack in MANETs. This method is designed by merging Cooperative Bait Detection approach and Trust model so that it can detect malicious node in the network efficiently. This method is referred as Cooperative Bait Detection approach using Trust model (CBDT).
- Page(s): 162-165
- Date of Publication: 15 August 2016
- Ravindra SainiM Tech., G. Narayanamma Institute of Technology & Science, Hyderabad, Telangana, India
- P. Sunitha DeviAssistant Professor, CSE, G. Narayanamma Institute of Technology & Science, Hyderabad, Telangana, India
References
[1]. Jian-Ming Chang, Po-Chun Tsou, Isaac Woungang, Han-Chieh Chao, and Chin-Feng Lai, Member, IEEE Defending Against Collaborative Attacks by Malicious Nodes in MANETs:A Cooperative Bait Detection ApproachIEEESYSTEMS JOURNAL, VOL. 9, NO. 1, MARCH 2015 [2]. AntesarM. Shabut, KeshavDahal, and Irfan Awan Enhancing Dynamic Recommender Selection Using Multiple Rules for Trust andReputation Models in MANETs 2013 IEEE 25th International Conference on Tools with Artificial Intelligenc [3]. Pedro B. Velloso, Rafael P. Laufer, Daniel de O. Cunha, Otto Carlos M. B. Duarte, and Guy Pujolle” Trust Management in Mobile Ad hoc NetworksUsing a Scalable Maturity-Based Model” IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, VOL. 7, NO. 3, SEPTEMBER 2010 [4]. Ms. SuganyaDevi.S, Dr.D. Thilagavathy, “NEIGHBOR NODE DISCOVERY AND TRUST PREDICTION IN MANETs” ISSN: 2278 – 7798 International Journal of Science, Engineering and Technology Research (IJSETR)Volume 2, Issue 1, January 2013 [5]. Chandni Garg, Prashant Rewagade” Trust Evaluation for Detecting Black Hole Attack on AODV Routing Protocol by using Back Propagation Algorithm of Neural Network” Proc. of Int. Conf. on Advances in Computer Science and Application
Ravindra Saini P. Sunitha Devi "Malicious Node Detection in MANETs using Cooperative Bait Detection Approach and Trust Model" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.162-165 2016
Farming is for rural people; therefore agricultural extension service is also for rural people. It has no closing time or opening time. So, it is informal in nature, which brings about a desirable change in rural people. Keeping this point in view, an attempt has been made in this paper to highlight the need of agriculture extension services based on the information needs of farmers. It covers the information requirements of farmers and states the objectives based on which the agriculture extension services need to be designed for effectively serving the information needs of the farmers. The paper also highlights the different types and methods of extension services, and briefly provides the important features of two Indian agriculture repositories; Agropedia and e-Arik..
- Page(s): 166-170
- Date of Publication: 15 August 2016
- Kumara BAssistant Librarian, University Library, Tumkur University, Tumakuru – 572 103, India
- Geetha M.Lecturer, Department of Library and Information Science, Kuvempu University, Shankaraghatta, Shivamogga, India
References
[1]. Glendenning, C. (2010). Review of Agricultural Extension in India. Retrieved on June, 2016 from www.ifpri.org/ [2]. Mai-Lafia, D., & Goshit, G. G. (2009). Cooperative Extension. Course Guide , National Open University of Nigeria Victoria Island, Lagos. [3]. Pohl, S. K., Caldwell, D. J., & Farnell, M. B. (July 20–23, 2009). Extension-what is needed to improve university and industry collaboration. Poultry Science Association. Raleigh, North Carolina: Presented as part of the National Extension Workshop at the Poultry Science Association’s 98th annual meeting in Raleigh. July 20–23. Available at http://japr.fass.org/content/19/3/316.full. [4]. Raj, S. (2008). e-Arik: ICTs for Agricultural Extension Services to the Tribal Farmers. World Conference on Agricultural Information and IT (pp. 803-810). IAALD AFITA WCCA2008. Retrieved on November 2011 form http://www.cabi.org/GARA/FullTextPDF/2008/20083298081.pdf [5]. Tripathi, A., Yadav, V. K., & Prabhakar, T. (n.d.). Agropedia-An ICT tool for extension services in Indian Agriculture. Agropedia. Retrieved from www.acr.edu.in/info/infofile/140.pdf [6]. Ibid. [7]. Zivkovic, D., Jelic, S., & Rajic, Z. (2009). Agricultural Extension Service in the Function of Rural Development. Paper prepared for presentation at the 113th EAAE seminar on December 9-11. “The Role of Knowledge, Innovation and Human capital in Multifunctional. Belgrade, Republic of Serbia.
Kumara B, Geetha M. "Extension Services in Agriculture Sector" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.166-170 2016
The agents have taken birth from artificial intelligence that agent use sensors to perceive their environment through actuators. Agents performs task interactively, autonomously and flexibility in complex environments. Now a day, agents are used in industrial and as well commercial applications. In this paper, we have discussed basics of agents and their architecture, development methodologies, framework and implementation platforms. The three agent architectures are discussed i.e. deliberative, reactive and hybrid architectures. The difference between deliberative architecture and reactive architecture has been presented. Where, deliberative architectures are not well suited for dynamic environments. Some important methodologies i.e. GAIA, MASE, PASSI etc. are discussed. Implementation platforms middleware, reasoning and societal platforms are described for agents.
- Page(s): 171-175
- Date of Publication: 15 August 2016
- Sangeeta AroraK.I.E.T, Ghaziabad, India
- Dr. P. SasikalaM.C.N.U.J.C, Bhopal, India
References
[1]. Stuart Russell, Peter Norvig, “Artificial Intelligence: A Modern Approach”, Prentice Hall, Second Edition, 2003 [2]. Gilbert D, Aparicio M, Atkinson B, Brady S, Ciccarino J, Grosof B, O’Connor P, Osisek D, Pritko S, Spagna R, Wilson L, 1995, IBM Intelligence Strategy, IBM Corporation [3]. S. Franklin, A. Graesser, Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. In Intelligent Agents III. Agent Theories, Architectures and Languages (ATAL'96), volume 1193, Berlin, Germany, 1996. Springer-Verlag. [4]. P.Maes, “The Agent Network Architecture (ANA)”, in “SIGART Bulletin”, Vol. 2, Issue No.4, 1991. pp.115–120. [5]. L. P. Kaelbling, “An Architecture for Intelligent Reactive Systems”, in “Reasoning About Actions and Plans – Proceedings of the 1986 Workshop”, M.P. Georgeff and A.L. Lansky Eds., Morgan Kaufmann, 1986. pp. 395–410 [6]. M. Wooldridge, N. R. Jennings, “Intelligent Agents: Theory and Practice”, in “The Knowledge Engineering Review”, Vol. 10 Issue No. 2, 1995. pp. 115–152. [7]. Kim On CHIN, Kim Soon GAN, Rayner ALFRED, Patricia ANTHONY & Dickson LUKOSE, “Agent Architecture : An Overview”, Transactions on Science and Technology, 2014, Vol. 1, pp 18-35 [8]. Rosaria Girardi, Adriana Leite, “A survey on Software Agent Architecture”, IEEE Intelligent Informatics Bulletin, 2013, Vol 14, pp. 8-20 [9]. Bratman, M. 1987. Intention, Plans, and Practical Reason. Harvard University Press [10]. Brooks, B. 1989. How To Build Complete Creatures Rather Than Isolated Cognitive Simulators. In Architectures for Intelligence, 225–239 [11]. Yu, E. 1995. Modelling Strategic Relationships for Process Reengineering, PhD, University of Toronto, Department of Computer Science. [12]. Zambonelli, F., Jennings, N., and Wooldridge M. 2003. Developing Multiagent Systems: the Gaia Methodology. ACM Transactions on Software Engineering and Methodology, Vol. 12, No. 3 [13]. Padgham, L., and Winikoff, M. 2004. Developing Intelligent Agent Systems: A Practical Guide. John Wiley and Sons. [14]. Bresciani, P., Giorgini, P., Giunchiglia, F., Mylopoulos, J., Perini, A. 2004. Tropos: An Agent-Oriented software development Methodology, Autononuous Agents and Multi-Agent Systems, vol 18, 203-236 [15]. Morandini, M., Nguyen, D.C., Perini, A., and Susi, A. 2008. Tool-Supported Development with Tropos: The Conference Management System Case Study. In the proceedings of 8th International Workshop on AGENT ORIENTED SOFTWARE ENGINEERING (AOSE 07) Revised Selected Papers. LNCS 4951 Springer [16]. Scott A. DeLoach, Analysis and Design using MaSE and agentTool, 12th Midwest Artificial Intelligence and Cognitive Science Conference (MAICS 2001) Miami University, Oxford, Ohio, March 31 – April 1, 2001 [17]. Scott A. DeLoach & Mark Wood. Developing Multiagent Systems with agentTool, Intelligent Agents VII - Proceedings of the 7th International Workshop on Agent Theories, Architectures, and Languages (ATAL'2000). Springer Lecture Notes in AI, Springer Verlag, Berlin, 2001 [18]. Massimo Cossentino, Colin Potts, A CASE tool supported methodology for the design of multi-agent systems, The 2002 international conference on Software Engineering Research and practice SERp’02(2002) [19]. Coulouris, G.F., Dollimore, J., and Kindberg, T. 2005. Distributed Systems. Addison-Wesley [20]. Fabio Bellifemine, Giovanni Caire, Dominic Greenwood, “Developing Multi-Agent Systems With JADE”, John Wiley & Sons Ltd,2007 [21]. McCarthy, J. 1979. Ascribing mental qualities to machines. In: M. Ringle (Editor): Philosophical Perspectives in Artificial Intelligence. Humanities Press, 161–195 [22]. Pokahr, A., Braubach, L., and Lamersdorf, W. 2005. Jadex: A BDI Reasoning Engine. In: R. Bordini, M. Dastani, J. Dix, and A. El Fallah Seghrouchni: Multi-Agent Programming: Languages, Platforms and Applications, Springer, 149–174 [23]. Gutknecht, O., Ferber, J., and Michel, F. 2001. Integrating Tools and Infrastructures for Generic Multi-Agent Systems. In Proceedings of the Fifth International Conference on Autonomous Agents, 441-448.
Sangeeta Arora, Dr. P. Sasikala "A Review of Software Agents: An Empirical Study" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.171-175 2016
The developed Android application aims to disperse the knowledge among farmers about the symptoms of various diseases and insects based on images, which alleviates the identification as well as management of diseases in Pulse crops at primary stage for farmers. Image processing has done by using OpenCV in Android in order to identify the type of diseases based on symptoms affected on Pulse crops, which are be caused by different pathogens produced by leaves as well as roots. The image matching helps the farmers when they are being unable to make out the difference between their real infected crop and the images displayed in application that exhibits the same disease symptom. Then farmer can upload their own captured image and get the matching result based on image matching with various images stored in the database. The efforts have been made to reduce the production costs as the farmers adopting various disease control policies, which incur intensive use of pesticides. Besides, this would bring the booming state in mungbean farming in Punjab, which ahead leads to flourished economic revenues. Moreover, the farmers will get notifications regarding Pulse diseases management.
- Page(s): 176-180
- Date of Publication: 15 August 2016
- Gurmanpreet Kaur GrewalM.Tech Student, SEEIT, COAET, PAU Ludhiana, India
- B. K SawhneyAssociate Professor, SEEIT, COAET, PAU Ludhiana, India
- Asmita SirariAssistant Plant Pathologist, PBG, COAET, PAU Ludhiana, India
References
[1]. Devraj and Jain R (2011) PulsExpert: An expert system for the diagnosis and control of diseases in pulse crops. Agri Sci J 38. [2]. Gonzalez – Andujar JL (2009) Expert system for pests, diseases and weeds identification in olive crops. Int J 36. [3]. Krasula L, Klima M, Rogard E and Jeanblanc E (2011) MATLAB-based Application for Image Processing and Image Quality Assessment – Part I: Software Description. Dept of Radioelectronics, Czech Technical Uni in Prague 20:1009-1015. [4]. Lai J, Ming B, Li S, Wang K, Xie R and Gao J (2010) An Image based diagnostic expert system for corn disease. Agri Sci in China 9(8):1221-1229. [5]. Phadikar S and Sil J (2008) Rice Disease Identification using Pattern Recognition Techniques. Proc 11th ICCIT. Pp 420-423. University of Kolkata and Howrah. [6]. Phadikar S and Das A.K (2012) Classification of Rice Leaf Diseases Based on Morphological Changes. Int J Info and Electronics Eng 2:460-463.
Gurmanpreet Kaur Grewal, B. K Sawhney, Asmita Sirari "A Mobile Application in Regional Language (PUNJABI) for Identification and Management of Diseases in Mungbean" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.176-180 2016
The objective of this paper is to optimize milling process parameter in case of face milling - Metal removal rate on 6061-T6 Aluminium work-piece using Design of Experiments (DOE) and Response Surface Methodology (RSM) and by taking into consideration feed rate, depth of cut and spindle speed as input parameters.
- Page(s): 181-187
- Date of Publication: 15 August 2016
- Pavan SinghM.Tech Scholar, Maharishi Dayanand University, Faridabad, India
- Rahul JainAssistant Professor, Department of Mechanical Engineering, Agra College, Agra, India
References
[1]. M.R. Soleymani Yazdi, A. Khorram, „Modeling and Optimization of Milling Process by using RSM and ANN Methods‟, IACSIT International Journal of Engineering and Technology, Vol.2, No.5, October 2010. [2]. Amit Joshi, Pradeep Kothiyal, Ruby Pant, „Experimental Investigation of Machining Parameters of CNC Milling On MRR By Taguchi Method‟, International Journal of Applied Engineering Research, ISSN 0973-4562 Vol.7 No.11 (2012) © Research India Publications. [3]. Ishan B Shah, Kishore. R. Gawande, „Optimization of Cutting Tool Life on CNC Milling Machine Through Design Of Experiments‟, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-1, Issue-4, April 2012 [4]. Surasit Rawangwonga, Jaknarin Chatthonga, Worapong Boonchouytana, and Romadorn Burapaa,‟An Investigation of Optimum Cutting Conditions in Face Milling Aluminium Semi Solid 2024 Using Carbide Tool‟,10th Eco-Energy and Materials Science and Engineering (EMSES2012),1876-6102 , 2013. [5]. T. Wang, L.J. Xie, X.B. Wang, L. Jiao, J.W. Shen, H. Xu, and F.M. Nie,‟ Surface integrity of high speed milling of Al/SiC/65p Aluminium matrix composites‟, Elsevier B.V., 2212-8271 [6]. Anjan Kumar Kakati, M. Chandrasekaran, and Amitava Mandal, „Prediction of Optimum Cutting Parameters to obtain Desired Surface in Finish Pass end Milling of Aluminium Alloy with Carbide Tool using Artificial Neural Network‟. World Academy of Science, Engineering and Technology, Vol: 57 2011-09-25 [7]. R. Ramanujam, R. Raju, and N. Muthukrishnan, „Taguchi Multi-machining CharacteristicsOptimization in Turning of Al-15%SiCp Composites using Desirability Function Analysis‟, Journal of Studies on Manufacturing, Vol.1-2010/Iss.2-3. [8]. Y. Mustafa1 and T. Ali, „Determination and optimization of the effect of cutting parameters and work piece length on the geometric tolerances and surface roughness in turning operation‟, International Journal of the Physical Sciences Vol. 6(5), pp. 1074-1084, 4 March, 2011. [9]. Narayana B. Doddapattar and Chetana S. Batakurki, „Optimazation Of Cutting Parameters For Turning Aluminium Alloys Using Taguchi Method‟ ,IJRET, ISSN: 2278-0181, Vol. 2 Issue 7, July – 2013. [10]. Alauddin M, Baradie MA, Hashmi MSJ. (1995), „Computer-aided analysis of a surface roughness model for end milling‟, J Mater Process Technol. 55: 123-127. [11]. Ertekin YM, Kwon Y, Tseng TL. (2003). „Identification of common sensory features for the control of CNC milling operations under varying cutting conditions‟, Int J Mach Tools Manuf. 43: 897-904. [12]. 12.Mr. Ballal Yuvaraj P., Dr. Inamdar K.H.,Mr. Patil P.V., „Application Of Taguchi Method For Design Of Experiments In Turning Gray Cast Iron‟, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622, Vol. 2, Issue 3, May-Jun 2012, pp.1391-1397 [13]. Moaz H. Ali, Basim A. Khidhir, Bashir Mohamed, and A. A. Oshkour, „Prediction of High Cutting Speed Parameters for Ti-6Al-4V by Using Finite Element Modeling‟, International Journal of Modeling and Optimization, Vol. 2, No. 1, February 2012 [14]. I. Korkut, M.A.Donertas, „ The influence of feed rate and cutting speed on the cutting forces, surface roughness and tool–chip contact length during face milling „, Materials and Design 28 (2007) 308–312 [15]. Dr. M. Naga Phani Sastry, K. Devaki Devi, Dr, K. Madhava Reddy,„Analysis and Optimization of Machining Process Parameters Using Design of Experiments‟, International Journal of Engineering Science and Innovative Technology (IJESIT) Volume 3, Issue 2, March 2014 [16]. Mr. H. R. Ghan, Prof. S. D. Ambekar, „A Review on Optimization of cutting parameter for Surface Roughness, Material Removal rate and Machining Time of Aluminium LM-26 Alloy‟, International journal of research in aeronautical and mechanical engineering. February 2014 [17]. N. Tomac, K. Tonnesson, Machining of particulate Al matrix composites, Ann. CIRP 41 (1992) 55 58. [18]. Chang CK, Lu HS. (2007),„Design optimization of cutting parameters for side milling operations with multiple performance characteristics‟, Int J Adv Manuf Technol. 32:18-26 [19]. .Ploypanichjaroen, K. (2003). Engineering statistics Volume 2. Minitab processed, 4th ed. Technology Promotion Association (Thai-Japanese), Bangkok. [20]. Navneet K Prajapati, S.M. Patel, „A review on optimization of process parameters for surface roughness and mrr for s.s. 316.on cnc machine‟, international journal of advanced engineering research and Studies E-ISSN2249–8974, December 2012 [21]. Surasit Rawangwong, Jaknarin Chatthong, R. Burapa and W. Boonchouytan,„An investigation of optimum cutting conditions in face milling aluminum 7075-t6 using design of experiment‟, 4th International Conference on Applied Operational Research, Proceedings© Tadbir Operational Research Group Ltd. 2012. [22]. Gopalakrishnan B, Khayyal F A „Machine parameter selection for turning with constraints: An analytical approach based on geometric programming‟, Int. J. Prod. Res. 29: 1897–1908, 1999 [23]. Prasad A V S R K, Rao P N, Rao U R K „Optimal selection of process parameters for turning operations in a CAPP system‟, Int. J. Prod. Res. 35: 1495–1522, 1997 [24]. Gilbert W W,„Economics of machining. In Machining – Theory and practice‟, Am. Soc. Met. 476–480, 1950 [25]. Armarego E J A, Brown R H, „The machining of metals‟ Englewood Cliffs, NJ: Prentice Hall, 1969 [26]. Brewer R C, Rueda R, „A simplified approach to the optimum selection of machining parameters‟. Eng. Dig. 24(9): 133–150, 1963 [27]. Bhattacharya A, Faria-Gonzalez R, Inyong H,„Regression analysis for predicting surface finish and its application in the determination of optimum machining conditions‟. Trans. Am. Soc. Mech. Eng. 92: 711, 1970 [28]. Petropoulos P G, „Optimal selection of machining rate variable by geometric programming‟. Int. J. Prod. Res. 11: 305–314, 1973 [29]. Walvekar A G, Lambert B K,„An application of geometric programming to machining variable election‟. Int. J. Prod. Res. 8: 3, 1970 [30]. Sundaram R M, „An application of goal programming technique in metal cutting‟. Int. J. Prod. Res. 16: 375–382, 1978 [31]. Hinduja S, Petty D J, ‟Tester M, Barrow G “Calculation of optimum cutting conditions for turning operations‟. Proc. Inst. Mech. Eng. 199(B2): 81–92, 1985 [32]. 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Pavan Singh, Rahul Jain "Optimization of Milling Parameters in Face Milling" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.181-187 2016
With the growing concern of researchers to achieve low temperature and high COP in conventional refrigeration cycles, lots of modifications has been suggested and successfully implemented in the existing refrigeration cycles except air refrigeration cycle where very few of it is available in literatures. So, in the present study for achieving the given objective a double regenerated air refrigeration cycle is considered .Its thermodynamic analysis is done from the point of view of achieving low temperature refrigeration. The exergy destruction of each of the components in the system is determined. In this arrangement the cold air leaving the refrigerated space is first used to cool the air leaving the compressor. Also some fraction of chilled air leaving the turbine is extracted for further cooling of air leaving the first heat exchanger. A simulation analysis is performed by varying the parameter such as mass extracted, the effectiveness of heat exchangers & pressure ratio to get low temperature refrigeration. The simulation is also carried out by varying above parameters to get exergy destruction of each component in the system using EES. It is investigated that by adding another heat exchanger as a regenerator the cabin temperature decreases considerably but there is a slight decrease in the COP of the cycle compared to the conventional regeneration cycle. The results of simulation are used to study the influence of various operating parameters such as effectiveness of heat exchangers, pressure ratio & percentage of mass extracted low temperature at the exit of turbine in order to get low temperature refrigeration. The results can be useful in the design of heat exchangers as well as control of other thermodynamic parameters to get optimum COP, as well as to get low temperature refrigeration..
- Page(s): 188-194
- Date of Publication: 15 August 2016
- Prof. R. S. MishraDepartment of Mechanical Engineering Delhi Technological University, Delhi-110042, India
- Naushad Ahmad AnsariDepartment of Mechanical Engineering Delhi Technological University, Delhi-110042, India
- P. V. Ram KumarDepartment of Mechanical Engineering Delhi Technological University, Delhi-110042, India
- RiturajDepartment of Mechanical Engineering Delhi Technological University, Delhi-110042, India
References
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Prof. R. S. Mishra, Naushad Ahmad Ansari, P. V. Ram Kumar, Rituraj "Thermodynamic Analysis of Air Refrigeration Cycle with Double Regeneration" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.188-194 2016
Geomorphology is the scientific study of the origin and evolution of topographic and bathymetric features created by physical, chemical or biological processes operating at or near the Earth's surface. Geomorphologists seek to understand why landscapes look the way they do, to understand landform history and dynamics and to predict changes through a combination of field observations, physical experiments and numerical modeling. Geomorphologists work within disciplines such as physical geography, geology, geodesy, engineering geology, archaeology and geotechnical engineering. This broad base of interests contributes to many research styles and interests within the field.
- Page(s): 195-197
- Date of Publication: 15 August 2016
- Pawan
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Pawan "An Overview of Geomorphology" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.195-197 2016
A population is a summation of all the organisms of the same group or species, which live in a particular geographical area, and have the capability of interbreeding. In ecology, the population of a certain species in a certain area is estimated using the Lincoln Index. The area that is used to define a sexual population is defined as the area where inter-breeding is potentially possible between any pair within the area. The probability of interbreeding is greater than the probability of cross-breeding with individuals from other areas. Under normal conditions, breeding is substantially more common.
- Page(s): 198-199
- Date of Publication: 15 August 2016
- Pawan
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Pawan "A Study of Population & Population Growth" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 8, pp.198-199 2016