The study was conducted with the objective of evaluating heritability and performance of some single cross maize hybrid in Dilla and Abaya areas. Analysis of variance showed that genotypes exhibited significant (p<0.01) differences in all traits at both locations except anthesis-silking-interval. Genotype by location interaction showed significant ((p<0.05) interaction for days to anthesis, silking, days to maturity and hundred seed weight. Heritability in broad sense is higher than 85% in all characters except anthesis-silking interval and ranges from -38.14% for anthesis-silking interval to 99.80% for plant height.The highest grain yield of 18.57 and 18.10 (t/ha) were obtained from limu and jabi in that order. In contrast, the lowest grain yield was obtained from Melkassa hybrid-130 (8.57 t/ha). In addition, Melkassa hybrid-130 performed less in all characters. The maximum number of days to anthesis, silking, maturity and hundred seed weight were scored from shone variety (67, 68.17, 92 and 55.53, respectively. The highest plant height of 278.67, 263.33, and 263 cm was obtained from limu, shone and jabi, in that order. The highest ear height was 227.05 and 212.48 cm for limu and jabi, respectively. From the five parents limu and jabi showed good performance in most characters and thus, selected as a check for the future to evaluate advanced lines by comparing with the checks. Most characters showed significance at locations, suggested that there is need to test for further study over years and locations for extracting different genotypes for the future breeding programs..
- Page(s): 01-05
- Date of Publication: 15 July 2016
- Mieso Keweti ShenguPlant Science Department, College of Agriculture and Natural Resources), Dilla University (DU), P.O. Box: 419, Dilla, Ethiopia
- Beniam TilahunPlant Science Department, College of Agriculture and Natural Resources), Dilla University (DU), P.O. Box: 419, Dilla, Ethiopia
References
[1]. Abera Debelo, 1982. Dry matter production and distribution by two maize (Zea mays.L) hybrids and their parental lines. MSc.Thesis submitted to School of Graduate Studies, Addis Ababa University. [2]. Central Statistical Authority (CSA). 2015. Crop production sample survey reports on the area & production forecast for major crops (private peasant holdings Meher season). The FDRRE Statistical Bulletins (September 11-October 25, 2015).PP.136. Vol.7. Addis Ababa, Ethiopia. [3]. FAOSTAT. 2015. Food and Agriculture Organization Statistical Database: http// faostat.fao.org. [4]. Kaur, G., P. Bansal, B. Kaur and S. Banga, 2007. Genetic diversity and its association with heterosis in Brassica rapa. Proceedings, The 12 international rapeseeds congress, Science.press USA Inc., 1: 144-146. [5]. Patterson HD, Williams ER, A new class resolvable incomplete block designs. Biometrika, 1976, 63, 83-92. [6]. Vasal, S.K. G. Srinivasan, F.Gonzalez, C. D. L.Beck and J. Crossa, 1993a. Heterosis and combining ability of CIMMYT’s quality protein maize germplasm: II.Subtropical. Crop Sci.33(1-3): 51-57. [7]. Vasal, S. K. G. Srinivasan, S. Landey, F. Gonzalez, J. Crossa and D. L. Beck, 1993b. Heterosis and combining ability of CIMMYT’s quality protein maize germplasm: I. Lowland tropical. Crop Sci. 33: 46-51. [8]. BulloNeda, 2010. Combining ability analysis for grain yield, yield components and some agronomic traits in quality protein maize (QPM) inbred lines at Mechara, Ethiopia. [9]. Hadji Tuna, 2004. Combining Ability Analysis for yield and yield related traits in quality Protein maize (QPM) inbred lines. M.Sc. Thesis submitted to School of Graduate studies, Alemaya University.
Mieso Keweti Shengu, Beniam Tilahun "Heritability and Performance of Single Cross Maize Hybrids in Dilla and Abaya Areas" International Journal of Research and Scientific Innovation-(IJRSI) vol.3 issue 7, pp.01-05 2016
The demand for natural raw materials and source of energy are increasing day by day, due to rapid growth in human population and industrialization in developing as well as underdeveloped countries. Many natural water bodies of the world receive flux of sewage, domestic waste, industrial effluents and agricultural waste which contain substances varying from simple nutrients to highly toxic chemicals. Over the years rising industrial and agricultural activities plus a lack of proper environmental control measures demand the continuous monitoring of the water quality of river studies of that area. Thus, an attempt has been made to evaluate the impact of human activities around KRS dam of Cauvery river of Karnataka state, India. In this research work, water quality of Cauvery River was carried out in order to find out the impact of human activities. It is observed that, water in most of the sampling stations were very poor quality and partially suitable for human consumption.
- Page(s): 06-15
- Date of Publication: 15 July 2016
- Appaji GowdaDepartment of Studies in Anthropology, University of Mysore, Manasagangothri, Mysuru – 570 006, India
- Srikantaswamy SDepartment of Studies in Environmental Science, University of Mysore, Manasagangothri, Mysuru – 570 006, India
- Rajasekhara Reddy KDepartment of Studies in Anthropology, University of Mysore, Manasagangothri, Mysuru – 570 006, India
- Abhilash M RDepartment of Studies in Environmental Science, University of Mysore, Manasagangothri, Mysuru – 570 006, India
- Shiva Kumar DDepartment of Studies in Environmental Science, University of Mysore, Manasagangothri, Mysuru – 570 006, India
- Jagadish KDepartment of Studies in Environmental Science, University of Mysore, Manasagangothri, Mysuru – 570 006, India
References
[1]. Aina, E.O.A. & Adedipe, N.O (Eds) (1996) Water Quality Monitoring and Environmental Status in Nigeria. FEPA Monograph 6, FEPA, Abuja, Nigeria. pp. 239. [2]. APHA Standard Methods for the Examination of Water and Wastewater, (1992, 1998, 2008), Edition 20 APHA, AWWA, WEF, Washington DC, pp. 1.27-1.35, 3.1-3.21. [3]. Chapman Deborah V, (1996), “Water Quality Assessments: A Guide to the use of Biota, Sediments and Water in Environmental Monitoring” , united nations educational, scientific and cultural organization, World Health Organization, United Nations Environment Programme, Spon Press, London. [4]. Dee AK (1989), Environmental chemistry. Second ed. pp. 164-272. [5]. Deuzuane J (1979). Handbook of drinking water quality. Indiana Univ. Press pp. 3-17. [6]. Environment Canada, (2001), “Threats to Sources of Drinking Water and Aquatic Ecosystem Health in Canada”, National Water Research Institute, Burlington, Ontario. NWRI Scientific Assessment Report Series No. 1. 72 p. [7]. Kratochivil B, Wallace D and Taylor J K (1984), sampling for chemical analysis, Anal. Chem, 56, 113-129. [8]. Mc Neill L, Edwards M (1995), soluble arsenic removal at water treatment plants. J AWWA, 105–13. [9]. Naiman, R. J. (Ed.) (1992), Watershed Management: Balancing Sustainability and Environmental Change, Springer, New York. [10]. Olson, (1999), International environmental standards handbook”, published by CRC Press. [11]. Parmasivam M, and Sreenivasan A., 1981, “Changes in algal flora due to pollution in Cauvery River. Indian J. Environ Hlth. 23 (3): pp. 222-238. [12]. Ramaswamy, S.N., Somashekar, H.K. and Arkal, G. D. 1982, Ecological studies on algae in wastewaters from rubber tyre factory. Indian J. Environ. Hlth. 24:1-7. [13]. Siamak Gholami and S. Srikantaswamy, World Applied Sciences Journal (2009), 6 (8): 1157-1169. [14]. Solaraj Govindaraj and Dhanakumar Selvaraj, (2009), Water quality in select regions of Cauvery Delta River basin, southern India, with emphasis on monsoonal variation, Environ Monit Assess, 166: 435-444. [15]. Somashekar R.K., and Ramaswamy S.N., 1984. Biological assessment of water pollution of river Kapila. Intern. J. Environ. Studies. 23:261-267. [16]. Spellman (2008), Handbook of water and wastewater treatment plant operations 2nd edition. [17]. Sreenivasan, A., 1986. Inland fisheries under constraints from other uses of land and water resources: Indian subcontinent and Sri Lanka, FAO Fisheries Circular 797. [18]. Sreenivasan, A., 1986. Inland fisheries under constraints from other uses of land and water resources: Indian subcontinent and Sri Lanka, FAO Fisheries Circular 797. [19]. Tahmiscioğlu M. Sait, nermin anul, fatih ekmekçi, nurcan durmuş 2007, “positive and negative impacts of dams on the environment” International Congress On River Basin Management, 24 March, 2007 in Antalya, Turkey. [20]. Tiwari, T.N. and Manzoor, A., (1988), River pollution in Kathmandu valley (Nepal) suitability of river water for irrigationʼ, Indian Journal of Environmental Protection, 8(4), pp 269-274. [21]. Trimble Stanley Wayne, 2007, “Encyclopedia of water science” Includes bibliographical references and index. CRC Press Taylor & Francis Group,p.13. [22]. United Nation’s World Water Development Report (2003), UN World Water Development Report: Water for People, Water for Life, UNESCO and Berghahn Books, Paris, New York and Oxford. [23]. Vaithiyanathan P., Ramanathan Al. and Subramanian V. , 1992 “transport and distribution of heavy metals in Cauvery river”, Water, Air, & Soil Pollution, V.71, Numbers 1-2. [24]. Vaithiyanathan, P; Ramanathan,AL; Subramanian,V (1995): Transport and Distribution of heavy metals in Cauvery river, Water, Air and Soil Pollution. 71, 13-28. [25]. WHO (2006), Guidelines for the Safe Use of Wastewater, Excreta and Greywater, Volume 2: Wastewater Use in Agriculture, World Health Organization, Geneva. [26]. Wilcox, L.V. (1948), the quality of water for irrigation use. US Department of Agriculture, Technical Bulletin, Washington, DC.
Appaji Gowda, Srikantaswamy S, Rajasekhara Reddy K, Abhilash M R, Shiva Kumar D, and Jagadish K "Impact of Anthropological Activities on the Water Quality of Cauvery River, Karnataka, India" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.06-15 2016
Nattokinase is an enzyme that finds a wide range of applications in pharmaceutical industry, health care and medicine etc. The main aim of research work is to screen and identification of Bacillus subtilis from coconut field soil source and purification of nattokinase. Biochemical test like Methyl red (MR) and the voges-proskauer (V-P) broth opposite result were obtained, in urease test phenol red changes from yellow color to a red or deep pink (cerise) color and catalase test trypticase soy agar slants presence of gas bubbles. Using different nitrogen sources like cow fibrin, sheep fibrin, peptone and tryptone enzyme activity was found to be 6, 26, 28.3 and 38 U/ml respectively. The caseinolytic activity of Nattokinase was found to be 636.73 U/ml. The enzymes were purified to homogeneity by ammonium sulfate precipitation, dialysis and ion exchange chromatography. Characterization studies showed an optimum temperature 400C, 38 U/ml and 1.0 U/ml of substrate and zinc chloride activator were found to be more when compared to the other.
- Page(s): 16-20
- Date of Publication: 15 July 2016
- Lakshmaiah. PVishwa bharathi College of Pharamaceutical Sciences Perecherla,Guntur,India
- D. Srinivasa RaoDepartment of Biotechnology, Acharya Nagarjuna University, Guntur, India
- U. SpandanaNirmala College of Pharmacy, Mangalagiri, Guntur, Andhra Pradesh, India
References
[1]. Shivasharana CT, Naik GR, 2012. Production of alkaline protease from a thermoalkalophilic Bacillus sp.jb-99 under solid state fermentation. Int j pharm bio sci, 3(4): (b) 571 – 587. [2]. Usharani B, Muthuraj M, 2010. Production and characterization of protease enzyme from Bacillus laterosporous. Afr. J. Microbial. Res, 4(11): 1057-1063. [3]. Iba, T., Saitoh, D., Gando, S. & Thachil, J. 2015. The usefulness of antithrombin activity monitoring during antithrombin supplementation in patients with sepsis-associated disseminated intravascular coagulation. Thromb Res. pii:S0049-3848(15)00113-9. [4]. Ero, M. P., Ng, C. M., Mihailovski, T., Harvey, N. R. & Lewis, B. H. 2013.A pilot study on the serum pharmacokinetics of nattokinase in humans following a single, oral, daily dose. Altern Ther Health Med. 19, 16–19. [5]. Kim, S. H. Choi, N. S. 2000. Purification and characterization of subtilisin DJ-4 secreted by Bacillus sp. strain DJ-4 screened from Doen-Jang. Biosci. Biotechnol. Biochem. 64: 1722-1725. [6]. Kwon, E. Y. Kim, K. M. Kim, M. K. Lee, I. Y. Kim, B. S. 2011. Production of nattokinase by high cell density fed-batch culture of Bacillus subtilis". Bioprocess and Biosystems Engineering, 34(7): 789–793. [7]. Morikawa, M. 2006. Beneficial Biofilm Formation by Industrial Bacteria Bacillus subtilis and Related Species. Journal of Bioscience and Bioengineering, 101(1): 1-8. [8]. Nakamura, T. Yamagata, Y. Lchishima, E. 1992. Nucleotide sequence of the subtilisin NAT gene, aprN, of Bacillus subtilis (natto). Biosci. Biotechnol. Biochem. 56: 1869-1871. [9]. Sumi H, Nakajima N, Yatagai C. A.1995. Unique strong fibrinolytic enzyme (katsuwokinase) in skipjack. Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology; 112(3):543–547. [10]. Sahelian R, Borken S. 1998. Dehydroepiandrosterone and cardiac arrhythmia. Annals of internal medicine. ; 129(7):588. [11]. Desai AJ. 2009 Isolation and Characterization of Halophilic Archaea: Production, Characterization and Application of Extracellular Protease from Halobacterium sp. SP1 (1). [12]. Nakano MM, Zuber P. 1998. Anaerobic growth of a strict aerobe”(Bacillus subtilis). Annual Reviews in Microbiology ; 129(7):588 [13]. McCarty MF, Block KI. 2006Toward a core nutraceutical program for cancer management. Integrative Cancer Therapies; 5(2):150. [14]. Wittkowsky AK. 2008. Dietary supplements, herbs and oral anticoagulants: the nature of the evidence. Journal of Thrombosis and Thrombolysis. ;25(1):72–77. [15]. Chongqing W, Meimei H, Shuguang GUO, Binggen RU. 2000. Isolation and Purification of Liver Metallothioneins of Rabbit. Acta Scicentiarum Naturalum Universitis Pekinesis. [16]. Kim JY, Gum SN, Paik JK, Lim HH, Kim K, Ogasawara K, et al 2008. Effects of nattokinase on blood pressure: a randomized, controlled trial. Hypertension Research.;31(8):1583–1588. [17]. Peng Y, Huang Q, Zhang R, Zhang Y. 2003, Purification and characterization of a fibrinolytic enzyme produced by Bacillus amyloliquefaciens DC-4 screened from douchi, a traditional Chinese soybean food. Comparative biochemistry and physiology part b: Biochemistry and Molecular Biology;134(1):45– 52. [18]. Juan MY, Wu CH, Chou CC. 2010. Fermentation with Bacillus sp. as a bioprocess to enhance anthocyanin content, the angiotensin converting enzyme inhibitory effect, and the reducing activity of black soybeans. Food Microbiology. [19]. Milner M, Makise K. 2002.Natto and its active ingredient nattokinase: A potent and safe thrombolytic agent. Alternative & complementary therapies; 8 (3) : 157–164 [20]. Chen PT, Chao YP. 2006, Enhanced production of recombinant nattokinase in Bacillus subtilis by the elimination of limiting factors. Biotechnology Letters; 28(19):1595–1600. [21]. Hsu RL, Lee KT, Wang JH, Lee LYL, Chen RPY. 2008. Amyloid-degrading ability of nattokinase from Bacillus subtilis natto. Journal of agricultural and food chemistry, 57(2): 503–508. [22]. Pais E, Alexy T, Holsworth J, Meiselman HJ 2006Effects of nattokinase, a pro-fibrinolytic enzyme, on red blood cell aggregation and whole blood viscosity. Clinical hemorheology and microcirculation; 35 (1):139–142.
Lakshmaiah. P, D. Srinivasa Rao, U. Spandana "Purification and Characterization of Nattokinase from Bacillus Subtilis from Coconut Field Soils" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.16-20 2016
The hydro chemical study reveals the quality of water and its suitability for drinking, agriculture and industrial purposes. Presence of extreme quantities of salts in groundwater is one of the major constrains in agro-well farming and domestic use in Kadur, Chikmagalur. Irrigation with poor quality ground water in study area had many threats such as agricultural activities, over exploitation, rock interaction in aquifers and also persistence of continuous drought condition bringing uninvited rudiments to the soil in excessive quantities affecting its fertility and people health. This study mainly addresses Hydrogeochemical studies in the fourteen water samples of Kadur to understand the chemistry of water and to assess the suitability of water by using modern tools and secondary parameters. The results of all the findings are discussed in details which reflect the present status of the groundwater quality in the study area.
- Page(s): 21-28
- Date of Publication: 15 July 2016
- Harish H.PDepartment of Studies in Environmental Science, University of Mysore, Manasagangotri, Mysuru 570006, India
- Abhilash M RDepartment of Studies in Environmental Science, University of Mysore, Manasagangotri, Mysuru 570006, India
[1]. Kelley WP (1940) Permissible composition and concentration of irrigation waters. Proc ASCE 66:607 [2]. Wilcox LV (1948) The quality of water for irrigation use. Technical bulletin, vol 962. U.S. Department of Agriculture, Washington, DC, p 40 [3]. Handa BK (1964) Modified classification procedure for rating irrigation waters. Soil Sci 98:264–269 [4]. Handa BK (1965) Modified Hill-piper diagram for presentation of water analysis data. Curr Sci 34:131–314 [5]. Hem JD (1985) Study and interpretation of the chemical characteristics of natural water. USGS Water Supply Paper 2254:117–120 [6]. Whittemore DO, Greggor KMM, Marotz GA (1989) Effects of variations in recharge on groundwater quality. J Hydrol 106:131–145 [7]. Edmunds, W. M. (2003) Groundwater evolution in the Continental Intercalaire aquifer of southern Algeria and Tunisia: Trace element and isotopic indicators. Appl. Geochem. 18,805–822 [8]. APHA-AWWA-WPCF. (1976). Standard Method for the Examination of water and wastewater. 14th Edition, American Public Health Association, Washington D.C. [9]. Balasubramanian, A., Subramanian, S., and Sastri., J.C.V., (1991). Hydrochemical Facies Classes Software, Basic Computer Program For Hydrogeological Studies. [10]. Piper, A.M., (1944). A Graphic Procedure in the Geochemical Interpretation of Water Analysis. AM geology. Union. Trans. 25: 914-923. [11]. USSL., (1954). Classification Of Irrigation waters. U.S. Department of Agriculture, Circu 969. Washington D.C. 20:253. [12]. Gibbs, R.J., (1970). Mechanisms Controlling World’s Water Chemistry, Sciences. 170: 1088-1090. [13]. Ryznar, J. W. A (1944) new index for determining amount of calcium carbonate scale formed by a water. Journal of American Water Works Association, v. 36, n. 4, p. 472-486. [14]. Freeze, R.A., and Cherry, J.A., (1979). Groundwater. Prentice Hall. Inc. Englewood Cliffs, New Jersey, 238p. [15]. Badrinath, S.D., Raman, A., Gadkari, S.K., Mhaisalkar, V.A., and Deshpande, V.P., (1984). Evaluation of carbonate stability indices for Sabaramati river water. Indian Water assessment, 16: 163-168. [16]. Donean, L.D., (1966). The Salinity of irrigation waters, Trans. Am. Geophys. Un, 35: 943-950. [17]. USSL., (1954). Classification Of Irrigation waters. U.S. Department of Agriculture, Circu 969. Washington D.C. 20:253. [18]. Donean, L.D., (1966). The Salinity of irrigation waters, Trans. Am. Geophys. Un, 35: 943-950. [19]. Back, W., (1961) Calcium Carbonate saturation in groundwaters from routine analysis, UGSC. Water Supply Paper. 1535-D, 14p. [20]. Back, W., (1966). Hydrochemical facies and groundwater flow patterns in Northern part of Atlantic Coastal Plain, UGSC. Prof. Pap 498-A, 42 p. [21]. Morgan, C.O. and Winner, M.D. [1962]: Hydrochemical facies in the 400 foot and 600 foot sands of the Baton Rouge Area, Louisiana. U.S. Geological Survey Professional Paper 450-B, p. 120-121. [22]. Seaber, P.R. [1962]: Cation hydrochemical facies of groundwater in the Englishtown Formation, New Jersey. U.S. Geological Survey Professional Paper 450-B, p. B124-126. [23]. Freeze, R.A., and Cherry, J.A., (1979). Groundwater. Prentice Hall. Inc. Englewood Cliffs, New Jersey, 238p. [24]. Schoeller, H., (1965), Qualitative evaluation of groundwater resources in: Methods and techniques of groundwater investigations and development, UNESCO, 5 4 -8 3 . 49. [25]. Schoeller, H., (1967), Geochemistry of groundwater in: An international guide for research and practice, UNESCO, 1-18. [26]. Vishwanathaih, M.N., and Sastri J., (1978). Capacity of wells in some Hard rocks of Karnataka. Jour. Geol. Sec. India. 19: 426-430. [27]. Stuyfzand, P.J. 1986. A new hydrochemical classification of water types : principles and application to the coastal dunes aquifer system of the Netherlands. Proc. 9th Salt Water Intrusion Meeting, Delft 12- 16 may, Delft Univ. Techn., 641-655. [28]. Stuyfzand, P.J. 1989. A new hydrochemical classification of watertypes. IAHS Publ. 182, 89-98. [29]. Back, W., (1961) Calcium Carbonate saturation in groundwaters from routine analysis, UGSC. Water Supply Paper. 1535-D, 14p. [30]. Back, W., (1966). Hydrochemical facies and groundwater flow patterns in Northern part of Atlantic Coastal Plain, UGSC. Prof. Pap 498-A, 42 p. [31]. Roberson, C.E., (1964). Carbonate equilibrium in selected natural waters, Am. Jour.Sci. 262(4): 56-65. [32]. Badrinath, S.D., Raman, A., Gadkari, S.K., Mhaisalkar, V.A., and Deshpande, V.P., (1984). Evaluation of carbonate stability indices for Sabaramati river water. Indian Water assessment, 16: 163-168. [33]. Richard LA., (1955).Diagnosis is improvement of saline and Alkali soils, Handbook no. 60, U.S. Department of Agriculture, Washington, D.C., Water: The Year Book of Agriculture, Oxford and IBH Pub, New Delhi.
Harish H.P, Abhilash M R "Hydrochemical Assessment of Groundwater Quality in Kadur, Chikmagalur, Karnataka, India" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.21-28 2016
The land is the most fundamental component of the natural environment of the mother earth. It is a basic resource which facilitates the generation and development of other biophysical resources, such as water, soils, plants and animals. The altitude of the Suyalcatchment ranges between 1260 m and 2340 m from the mean sea level, that part of Lesser Himalaya. Despite several geo-environmental constraints the basin has not escaped anthropogenic impacts which continue to multiply with the increasing pressure of population and the resultant process of land use changes operative in the Suyal catchment. The practices of cultivation and grazing are now extended over large areas leading to the degradation of the fragile ecosystem and depletion of natural resources. A considerable proportion of the region is ecologically vulnerable and thus prone to the processes of environmental degradation. The region, therefore, deserves specific attention for protecting the fragile environment and sustainable development of natural resources.This paper suggests a suitable Land Use Pattern and Sustainability of Ecosystem with swains in Lesser Himalaya.
- Page(s): 29-36
- Date of Publication: 15 July 2016
- Prem SagarLecturer, G.I.C. Kunlakhet, Almora, Department of School Education, Govt. of Uttarakhand, Indiaa
- P. C. ChanyalAssistant Professor, Department of Geography, D.S.B. Campus, Kumaun University Nainital, India
References
[1]. Joshi, S.C., Joshi, D.R. and Dani, D.D. (1983). Kumaun Himalaya: A geographical Perspective on Resource Development, GyanodayaPrakashan, Nainital. [2]. Maithani, B.P. (1996). Towards Sustainable Hill Area Development, Himalaya: Man, Nature and Culture, 16(2), 4-7. [3]. Pathak, H. (1983). Water Resources of U.P. Himalaya: Their Uses and Potential, in O.P. Singh Ed. The Himalaya: Nature, Man and Culture, Rajesh Publications, New Delhi, 161-169. [4]. Valdiya, K.S. (1985). Accelerated Erosion and landslide Prone Areas in the Central Himalayan Region, in J. S. Singh ed. Environmental Regeneration in Himalaya, Central Himalayan Environment Association, Naini Tal, 12-38. [5]. Ives, J. D. (1989), Deforestation in the Himalaya: The Cause of Increased Flooding in Bangladesh and Northern India, Land Use Policy, 6, 187-193. [6]. Kostriwicki, J. (1983), Land Use Systems and Their Impact on the Environment: An Attempt at on Classification, The Geographer, Special Number, Vol. 30(1), 6 – 14. [7]. Shafi, M. (1961). Land Utilization in Uttar Pradesh, Ph. D. Thesis,Department of Geography, AligarhMuslimUniversity, Aligarh [8]. Shafi, M. (1968). The Problems of Wasteland in India. The Geographer Special No. 21. AligarhMuslimUniversity. [9]. Shah, S.L. (1982). Socio-Economic, Technological Organisational and Constraints in the Afforestation of Civil Soyam, Usar and Waste Land for Resolving Fuel Wood Crisis in the Hill Districts of U.P., VivekanandParvatiyaKrishiAnusandhanShala, Almora. [10]. Valdiya, K.S. (1985). Accelerated Erosion and landslide Prone Areas in the Central Himalayan Region, in J. S. Singh ed. Environmental Regeneration in Himalaya, Central Himalayan Environment Association, Naini Tal, 12-38.
Prem Sagar, P. C. Chanyal "Land Resource Management a Nectar of Human-Life to infinite of “Suyal” Catchment in Lesser Himalaya" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.29-36 2016
The construction industry has been showing poor performance very often. This is one of the reasons for the cost overruns. Cost overruns has been a major issue in many Indian construction projects sepecially in high- rise building projects.Successful management of construction projects is based on three major factors i.e. time, cost and quality. The successful completion of construction projects within the specified time has become the most valuable and challenging task for the Managers, Architects, Engineers and Contractors. The aim of the study is to investigate the factors influencing Cost overruns in high rise construction projects. A valid questionnaire for the survey was developed based on factors for cost overruns identified from literature review. These factors are grouped into 8 categories for cost overruns and distributed to Contractors, Consultants, and Owners of high-rise construction projects. Cost overrun is also called as cost escalation, cost increase or budget overrun.
- Page(s): 37-42
- Date of Publication: 15 July 2016
- Prof. Yogini K. PatilProfessor, G.C.O.E.Jalgaon, Maharashtra, India
- Prof. Pankaj P. BhangaleHead of Civil Dept, S.S.G.B. C.O.E.T. Bhusawal, Maharashtra, India
Reference
[1]. Jennifer S. Shane, Keith R. Molenaar, Stuart Anderson, and Cliff Schexnayder (2009), Construction Project Cost Escalation Factors, Journal of Management in Engineering, Vol. 25, No. 4, October 1, 2009. ©ASCE, ISSN 0742-597X/2009/4 pg. 221–229. [2]. AbhishekBhargava, Panagiotis Ch. Anastasopoulos, Samuel Labi, Kumares C. Sinha, and Fred L. Mannering(2010), Three-Stage Least-Squares Analysis of Time and Cost Overruns in Construction Contracts,Journal of Construction Engineering and Management, Vol. 136, No. 11, November 1, 2010. ©ASCE, ISSN 0733-9364/2010/11 pg. 1207–1218. [3]. Shreenaath. A., Arunmozhi. S., Sivagamasundari. R (2014),Analysis of factors influencing construction cost overruns in large construction projects of Tamilnadu,International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-2, Issue-11, November 2014, pg 42-47 [4]. Yehiel Rosenfeld (2014), Root cause analysis for cost overrun, Journal of Construction Engineering and Management 2014 140 ©ASCE. Pg 1-10. [5]. Jansu Ann Jose, Mr.Belarmin Xavier C.S (2015), Analysis of time and cost overrun in building construction, International Conference on Recent Advances in Engineering Science and Management, 30 August 2015, pg. 305-311 [6]. S. Shanmugapriya, Dr. K. Subramanian(2013), Investigation of Significant Factors Influencing Time and Cost Overruns in Indian Construction Projects, IJETAE, ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 10, October 2013, pg. 734-740.
Prof. Yogini K. Patil, Prof. Pankaj P. Bhangale "To Study Effects of Cost Overrun on High-Rise Building Projects - A Case Study" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.37-42 2016
In this paper, an Economic Manufacturing Quantity (EMQ) is set up under the effect of reliability with demand based on the selling price and seasonal time. The profit of the concern is absolutely depending on the manufacturing of the number of products equalizing the seasonal demand created for the product in the particular time and on the other hand based on fixing the selling price matching with the requirements of the customers and the demand. Hence, the production process of time demanded products should be reliable for the same. Due to wear and tear, breakdown of the machine and etc.. as a result, the production system may be severely affected and changed to out-of-control state. The imperfect system may increase the production time and costs and also produces less quality items. At the additional fixed cost, the less quality items are reworked or restored. Therefore every production process should be perfect to meet the unexpected seasonal demand. The time based manufacturing process is the critical one to make the system perfect till the seasonal demand is fulfilled within short span of time. To reduce the increasing cost of production and to supply the products at the required quantity with perfect quality in the desirable time , we consider reliability as a decision variable along with the improvement of cost and the production cost as a function of reliability. The profit function is maximized in this model by applying Euler-Lagrange formula. The numerical example and graphical illustrations are given to point up the model.
- Page(s): 43-48
- Date of Publication: 15 July 2016
- W. RithaHoly Cross College( Autonomous ) ,Tiruchirapalli – 620 002, India.
- S. Sutha2Government Arts College, Trichirapalli – 620 022, India.
References
[1]. Banerjee, S., & Sharma, A. (2010). Optimal procurement and pricing policies for inventory models with price and time dependent seasonal demand, Mathematical and Computer Modelling, 51, 700–714. [2]. Burwell.T.H., D.S. Dave, K.E. Fitzpatrick, M.R. Roy, An inventory model with planned shortages and price-dependent demand, Decis. Sci. 27 (1991) 1188–1191. [3]. Chang.C.T., Y.J. Chen, T.R. Tsai, S.J. Wu, Inventory models with stock and price-dependent demand For deteriorating items based on limited shelf space, Yugoslav J. Oper. Res. 20 (2010) 55–69. [4]. Datta.T.K., K. Pal, An inventory system with stock dependent, price-sensitive demand rate, Prod. Plan. Contr.: Manage. Oper. 12 (2001) 13–20. [5]. Groenevelt .H., L. Pintelon, A. Seidmann, Production lot sizing with machine breakdowns, Manage. Sci. 38 (1992) 104–123. [6]. Hargia.M., L. Benkherouf, Optimal and heuristic inventory replenishment models for deteriorating items with exponential time-varying demand, Eur. J. Oper. Res. 79 (1994) 123–137. [7]. Khanra.S., B. Mandal, B. Sarkar, An inventory model with time dependent demand and shortages under trade credit policy, Econ. Model. 35 (2013) 349– 355. [8]. Olsder .G., R. Suri, Time optimal of part-routing in a manufacturing system with failure prone machines, Decision and Control including the Symposium on Adaptive Processes,1980, pp. 722–727, Albuquerque. [9]. Panda, S., Senapati, S., & Basu, M. (2008). Optimal replenishment policy for perishable seasonal products in a season with ramp-type time dependent demand. Computers & Industrial Engineering, 54, 301–314. [10]. Papachristos.S., S. Skouri, An inventory model with deteriorating items, quantity discount, pricing and time-dependent partial backlogging, Int. J. Prod. Econ. 83 (2003) 247–256. [11]. Rishel, R. Control of systems with jump Markov distributions, IEEE Trans. Autom. (1975) 241–244. [12]. Sana.S., K.S. Chaudhuri, A deterministic EOQ model with delays in payments and price discounts offers, Eur. J. Oper. Res. 184 (2008) 509–533. [13]. Sana.S., An EOQ model with a varying demand followed by advertising expenditure and selling price under permissible delay in payments: for a retailer, Int. J. Model. Identif. Contr. 5 (2008) 166–172. [14]. Sana.S.S., Optimal selling price and lotsize with time varying deterioration and partial backlogging, Appl. Math. Comput. 217 (2010) 185–194. [15]. Sana.S.S., S.K. Goyal, K.S. Chaudhuri, An imperfect production process in a volume flexible inventory model, Int. J. Prod. Econ. 105 (2007) 548–559. [16]. Sarkar.B., S.S. Sana, K.S. Chaudhuri, Optimal reliability, production lotsize and safety stock: an economic manufacturing quantity model, Int. J. Manage. Sci. Eng. Manage. 5 (2010) 192–202. [17]. Shinn, S. W., & Hwang, H. (2003). Optimal pricing and ordering policies for retailers under order-size-dependent delay in payments. Computers and Operations Reseach, 30, 35–50. [18]. Silver, E., & Meal, H. (1973). A heuristic for selecting lot size requirements for the case of a deterministic time-varying demand rate and discrete-opportunities for replenishment. Production and Inventory Management, 14(2), 64–74. [19]. Teng.J.T., C.T. Chang, Economic production quantity models for deteriorating items with price and stock-dependent demand, Comput. Oper. Res. 32 (2005) 297–308. [20]. Urban, T. L. (2005). Inventory models with inventory-level-dependent demand: a comprehensive review and unifying theory. European Journal of Operational Research, 162, 792–804. [21]. Yang.P.C, H.M. Wee, S.L. Chung, E. Zahara, C.Y. Peng, Collaboration for a closed- loop deteriorating inventory supply chain with multi-retailer and price sensitive demand, Int. J. Prod. Econ. 143 (2013) 557–566..
W. Ritha, S. Sutha "Reliable EMQ Model with Price and Seasonal Time Dependent Demand" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.43-48 2016
Two cabinet solar dryers of same dimensions with flat plate solar collector have been developed to test their performance for tomato drying. The experiments were carried out simultaneously in natural and forced convection mode under the same metrological conditions of Chandwad (India).The moisture content of tomato slices were reduced from an initial value of 94% (w.b) to a final value of 10% (w.b) within 9 hrs in forced and 12 hrs in natural convection mode. Also the mass content of 1000 g of tomato slices were reduced to 106 g and 226.6 g in forced and natural convection mode for the same drying period of 9 hrs. During test period, the collector efficiency of cabinet solar dryer in forced and natural convection mode was found to be 32.96% and 17.12 %. For the same period of drying, dryer efficiency in forced convection was higher (11.24%) than natural convection mode (9.94%) of drying. The main aim of this study was to compare the performance of solar cabinet dryer in natural and forced convection mode and it may be useful in setting drying standards for selected agro-commodities.
- Page(s): 49-52
- Date of Publication: 15 July 2016
- Rajendra PatilDepartment of Mechanical Engineering,Bapurao Deshmukh College of Engineering Sewagram,Wardha 442102,Nagpur, India
- Rupesh GawandeRashtrasant Tukadoji Maharaj Nagpur University,Ravindranath Tagore Marg, Nagpur 440001, India
References
[1]. A. Saleh, I. Badran (2009). Modeling and experimental studies on a domestic solar dryer. Renewable Energy, Vol. 34, 2239–2245. [2]. A.A. El-Sebaii, S.M.Shalaby (2012).Solar drying of agriculture products: A review. Renewable and Sustainable Energy Reviews, 16, 37-43. [3]. Panghavane, D.R. and Sawheny R.L. (2002). Review of research and development work on solar driers for grape drying. Energy conversion and management, 43 (1), 45 –61. [4]. Jairaj, K. S, Singh, S. P., & Srikant, K. (2009). A review of solar dryers developed for grape drying. Solar Energy, 83:1698–1712. http://dx.doi.org/10.1016/j.solener.2009.06.008 [5]. A. Zomorodian, D. Zare, H. Ghasemkhani (2007). Optimization and evaluation of a semi-continuous solar dryer for cereals (Rice, etc). Desalination 209, 129–135. [6]. Babagana gutti, Silas kiman and Ahmed m. Murtala (2012). Solar dryer - an effective tool for agricultural products preservation. Journal of applied technology in environmental sanitation, Vol. 2(1), 31-38. [7]. Davies, J.N. and G.E. Hobson (1981). The constituents of tomato fruit – The influence of environment, nutrition, and genotype. CRC critical Reviews in food science, and Nutrition 15,205 -280. [8]. Varun, Sunil, Avdhesh Sharma, Naveen Sharma (2012). Construction and performance analysis of an indirect solar dryer integrated with solar air heater. Procedia Engineering 38, 3260 – 3269. [9]. Shariah, Adnan, Al-Akhras, M-Ali; and Al-Omari, I.A. (2002). Optimizing the tilt angle of solar collectors. Renewable Energy 26 (4), 587–598. [10]. M. Mohanraj, P. Chandrasekhar (2009). Performance of a forced convection solar drier integrated with gravel as heat storage material for chili drying. Journal of Engineering Science and Technology, Vol. 4, No. 3, 305 – 314. [11]. Ahmed Abed Gatea (2011). Performance evaluation of a mixed-mode solar dryer for evaporating moisture in beans. Journal of Agricultural Biotechnology and Sustainable Development, Vol. 3(4), 65-71.
Rajendra Patil, Rupesh Gawande "Comparative Analysis of Cabinet Solar Dryer in Natural and Forced Convection Mode for Tomatoes" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.49-52 2016
Human Respiratory System is the breath of Human body. The respiratory tract infection diseases are found increasingly affecting the human body and a huge population is reported to be suffering from these diseases. An improvement in the conventional methods for Analysis and Diagnosis of Respiratory Tract Infection Diseases is a must. The present paper briefs about the respiratory system, the common respiratory tract infection diseases and proposes the effective analysis and Diagnosis tools.
- Page(s): 53-58
- Date of Publication: 15 July 2016
- Ranjit K SawantSelection Grade Lecturer in Electronics Engineering, Government Polytechnic, Kolhapur (M.S.) , India
- Dr. Ashok A GhatolEx-Vice Chancellor, Dr. BATU, Lonere, Ex-Director, PIET, Pune, India.
References
[1]. “ About Respiratory Disorders”, http://medicalcent.OSU.edu [2]. Urvi Ptel, “ Computerized Respiratory Sound Analysis: An Exploration of Methods”, Thesis by Urvi Patel, CWRV School of Engineering Department of Physics, May 2, 2011 [3]. Reichert, S., Gass, R., Brandt, C., & Andres, E. (2008). Analysis of respiratory sounds: state of the art. Clinical Medicine: Circulatory, Respiratory, and Pulmonary Medicine, 2, 45-58. [4]. Ingrid C. Sluimer, “ Automated Image Analysis of Pathological lung in CT”, Book Printed by Febo Druck. B. V. Enschede, Nethera 2005, pp9 [5]. Maton, Anthea; Jean, Hopkins Susan, Johnson Charles William, McLaughlin Maryanna Quon Warner David, LaHart Wright, Jill (2010). Human Biology and Health. Englewood Cliffs: Prentice Hall. pp. 108–118. ISBN 0134234359. [6]. West, John B. Respiratory physiology-- the essentials. Baltimore: Williams & Wilkins. pp. 1–10. ISBN 0-683-08937-4.. [7]. SIRO solutions available at http://www.siroclinpharm.com/respiratory_diseases.html [8]. www.sadoctors.co.za – South Africa's premier interactive site for all medical doctors, specialists, dentists, psychologists, hospitals, clinics and allied medical services in Cape Town, Western Cape, Johannesburg and Pretoria, Gauteng, Durban, KZN and the rest of South Africa. [9]. Sovijarvi, A.R., Malmberg, L.P., Charbonneau, G. and Vandershoot, J. 2000. Characteristics of breath sounds and adventitious respiratory sounds. Eur. Respir. Rev., 10:591–6. [10]. Sandra Reichert, Raymond Gass, Christian Brandt and Emmanuel Andrès, “Analysis of Respiratory Sounds: State of the Art”, Clinical Medicine: Circulatory, Respiratory and Pulmonary Medicine 2008:2 45–58 [11]. S.Xie and etal , “ Feature extraction by multi-scale PCA and its application to respiratory sound classification”, Medical and Biological Engineering and Computing, vol 50 pp 759-68,2012 [12]. Raj Kumar palaniappan and etal, “ Computer –based Respiratory Sound Analysis: A systematic Review”, IETE Technical review, vol 30, issue 3, May-June 2013. [13]. Hadjileontiadis, Leontios. (2009.) Lung Sounds: An Advanced Signal Processing Perspective. Systhesis Lectures on Biomedical Engineering. [14]. Misiti, M., Misiti, Y., Oppenheim, G., Poggi, J.M. (2012.) MATLAB Wavelet Toolbox User’s Guide http://www.mathworks.com/help/pdf_doc/wavelet/wavelet_ug.pdf [15]. "computed tomography – Definition from the Merriam-Webster Online Dictionary". Retrieved 2009-08-18. [16]. Herman, G. T., Fundamentals of computerized tomography: Image reconstruction from projection, 2nd edition [17]. Ali Kele and Aytürk Keleş “ESTDD: Expert system for thyroid diseases diagnosis” , Expert Systems with Applications Elsevier Ltd Volume 34, Issue 1, January 2008, Pages 242-246 [18]. E.I. Papageorgiou*, N.I. Papandrianos1, D. Apostolopoulos1, P. Vassilakos1” Complementary use of Fuzzy Decision Trees and Augmented Fuzzy Cognitive Maps for Decision Making in Medical Informatics” 2008 International Conference on BioMedical Engineering and Informatics. [19]. Feyzullah Temurtas “Chest diseases diagnosis using artificial neural networks” Expert Systems with Applications Article in Press,. Available online 7 May 2010. Elsevier Ltd . [20]. Erhan Elveren and Nejat Yumuşak “Tuberculosis Disease Diagnosis Using Artificial Neural Network Trained with Genetic Algorithm” Journal of Medical Systems Springer Netherlands, August 28, 2009 [21]. Orhan Er and Feyzullah Temurtas “A Study on Chronic Obstructive Pulmonary Disease Diagnosis Using Multilayer Neural Networks” Journal of Medical Systems Volume 32 , Issue 5 (October 2008) Pages: 429 – 432 : 2008 [22]. Kumar C.Satish,Kanadaswamy A. Ramnatham “Artificial Neural Network based Approach for Diagnosis of Respiratory System using Model based Parameters of Maximum Expiratory Flow-Volume Curve” Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association 8(1), 15-20, 2002-12 .
Ranjit K Sawant, Dr. Ashok A Ghatol "Effective Analysis and Diagnosis of Respiratory Tract Infection Diseases: A Review" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.53-58 2016
Reverse logistics is important for today’s business environment, and it involves the process of product returns, products wrongly delivered damaged products, and product exchange programs. Most of the reverse logistics model ignored the energy cost along with transportation and waste disposal cost. In this paper we will present the inventory model with closed - loop supply chain system with energy, transportation and waste disposal costs. Numerical examples are presented for the proposed model, and the numerical example will illustrate the importance of accounting for the three costs.
- Page(s): 59-63
- Date of Publication: 15 July 2016
- W. RithaDepartment of Mathematics, Holy Cross College (Autonomous), Trichirappalli-620-002, India.
- I. Francina NishandhiDepartment of Mathematics, Holy Cross College (Autonomous), Trichirappalli-620-002, India.
References
[1]. Alinovi,A., E.Bottani, and R.Montanari.2012. Reverse Logistics: A Stochastic EOQ–Based Inventory Control Model for Mixed Manufacturing/Remanufacturing Systems with return policies.International Journal of Production Research 50 (5):1243-1264 [2]. Bazen.E.,M.Y.Jaber, and S.Zanoni 2015, A review of mathematical inventory models for reverse logistics and the future of its modelling: an environmental perspective, Applied Mathematical Modelling,doi:10.1016/j.apm.2015.11.027. [3]. Baetz,B. W., and A.W.Neebe.1994. A Planning model for the developmentof waste material recycling programmes. The Journal of operations research society 45 (12):1374-1384. [4]. Bonny, M., and M.Y.Jaber.2011.Environmentally Responsible Inventory models: Non-Classical Models for a non-Classical Era. International Journal of Production Economics 133(1):43-53. [5]. Carlee, T.R. 1986. Plastic Recycling: Economic and Institutional Issues.Conservation and Recycling 9(4):335-350. [6]. Dijkgraaf, E., and H.R.J.Vollebergh. 2004. Burn or Bury? A Social Cost Comparison of Final Waste Disposal Methods. Ecological Economics 50(3-4):233-247. [7]. Dobos, I., and K.Richter.2003.A Production/Recycling Model with Stationary Demand and Return Rates. Central European Journal of Operations Research 11 (1):35-46. [8]. Dobos, I., and K.Richter.2004.An Extended Production/Recycling Model with Stationary Demand and Return Rates. International Journal of Production Economics 90(3):311-323. [9]. Dobos,I., and K. Richter.2006.A Production/Recycling Model with Quality Consideration. International Journal of Production Economics 104(2):571-579. [10]. El-Kordy,M.N.,M.A.Badr,K.A.Abed,andM.A.I.said.2002.Economical Evaluation of Electricity Generation Considering Externalities. Renewable Energy 25 (2): 317-328. [11]. El Saadany,A.M.A., and M.Y. Jaber. 2008. The EOQ Repair and Waste Disposal Model with Switching. Computers and Industrial Engineering 55 (1), 219-233. [12]. El Sasdany, A.M.A., and M.Y.Jaber 2011. Production/Remanufacture EOQ model with returns of Subassemblies Managed Differently. International Journal of Production Economics 133 (1), 119-126. [13]. Fleischmann,M.,J.M.Bloemhof-Rwaard,R.Dekker,E.van der Laan,J.A.E.E.vanNunen,and L.N. van Wassenhove.1997.“Quantitative Models for Reserve Logistics.” European Journal of Operational Research103 (1):1-17. [14]. Hasanov, P.,M.Y.Jaber,and S.Zolfaghari.2012.Production, Remanufacturing and Waste Disposal Models for the cases of Pure and Partial Backordering. Applied Mathematical Modelling 36(11):5249-5261. [15]. Hasanov, P.,M.Y.Jaber,S.Zanoni and L.E.Zavanella. 2013 Closed-loop supply chain system with enegy,transportation and waste disposal costs, International Journal of Suatainable Engineering, 6:4,352-358. [16]. Khan,Q.N.2006.Alternatives to Grid Extension for Rural Electrification:Decentralised Renewable Energy Technologies in Viemam.Energy technologies in Viemam. Energy Policy 35 (4): 2579 – 2589. [17]. Jaber, M.A., and A.M.A., El.Saadany.2009. The Production Repair and waste disposal model with lost sales. International Journal of Production Economics 120 (1), 115-124 [18]. Jaber, M.A., and M.A., Rosen 2008. The economic order quantity repair and waste disposal model with entropy cost. European Journal of Production Research 188(1) 109-120. [19]. Konstantaras,I., and S. Papachristos 2006. Lot sizing for a single product recovery system with backordering. International Journal of Production Research 44 (10) [20]. 2031 - 2045. [21]. Lambert,S., D. Riopel andW.Abdul-Kader.2011. A reverse Logistics Decisions Conceptual Framework. Computers and Industrial Engineering 61 (3). 561-581. [22]. Mitra, S., 2012 Inventory Management in a two echelon closed-loop supply chain with correlated demands and returns, Computers and Industrial Engineering 62 (4): 870-879. [23]. Richter,K., 1996. The EOQ and waste disposal model with variable setup numbers. European Journal of Operations Research 95 (2).313-324. [24]. Teunter,R.H., 2004 Lot sizing for inventory systems with product recovery, Computers and Industrial engineering 46(3),431-441. [25]. Toptal,A., S. Cetinkaya, and C.Y.Lee 2003 The buyer and vendor coordination problem: Modelling inbound and outbound cargo capacity cost.IIE Transactions 35 (1): 987-1002. [26]. Winkler,H., 2011 Closed-loop Production system – A sustainable supply chain approach, CIRP Journal of Manufacturing Science and Technology 4(3) 243-246. [27]. Zanoni,S., I. Ferretti, and O.Tang. 2006 Cost performance and Bullwhip Effect in a hybrid Manufacturing and remanufacturing system with different control policies. International Journal of Production Research 44 (18-19): 3847 -3862.
W. Ritha, I. Francina Nishandhi "Reverse Logistics Model: A Closed - Loop Supply Chain System with Energy, Transportation and Waste Disposal Costs" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.59-63 2016
Brain tumors are a typical growth of cells in the brain. It is important to diagnose these tumors as malignant or benign as early as possible after detection. This paper presents a non-invasive method to differentiate between malignant and benign tumors using NI Lab view software. A script in NI Vision Assistant software is developed that identifies tumors based on the amount of edema, fluids and necrosis in the brain which is reflected in the MRI Scans. Edemas and other fluids present in the brain have a different color and texture compared to the rest of the cerebral tissue. The method used describes a strategy for detection and extraction of tumor from patient’s MRI scan images of brain. It incorporates few noise removal functions, segmentation and morphological operations which are the basic concepts of image processing. The algorithm used in this work involves two stages; first is preprocessing of given MRI image, performing segmentation and applying morphological operations. The method was applied on 19 MRI scans and the results obtained reveal that the VI script developed has achieved 86.36% success rate.
- Page(s): 64-70
- Date of Publication: 15 July 2016
- Jyothirmai JoshiDepartment of Electronics and Instrumentation Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
- N. Moorthy MuthukrishnanDepartment of Electrical and Electronics Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, India
- H. RenukaDepartment of Electronics and Instrumentation Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
References
[1]. Kharrat. A., Benamrane. N, Ben Messaoud. M, Abid. M, Detection of Brain Tumor in Medical Images, signals,Circuits and Systems(scs), 3rd International conference, IEEE conference publication-2009 [2]. Ming-Ni Wu, Chia-Chen Lin, Chen-Chin Chang, Brain tumor detection using color based K-means clustering segmentation. Intelligent information hiding multimedia signal processing, 3rd International conference, IIHMSP-2007 [3]. Phooi Yee Lau, Voon F.C.T, Ozawa. S , The detection and visualization of brain tumors on T2-weighted MRI images using multiparameter feature block, 27th annual international conference of engineering in medicine and bilogy society, IEEE-EMBS, 2005 [4]. Choudary. H, Nehorai Arye, Tumor detection using Bayesian conjugate prior in diffuse optical tomography, 28th international conference of the IEEE, international conference of engineering in medicine and bilogy society, IEEE-EMBS, 2006 [5]. Logeswari .T, Karnan. M, An improved implementation of brain tumor detection using soft computing, Communication software and networks, IEEE, 2nd International conference, ICCSN,2010 [6]. Logeswari .T, Karnan. M, An enhanced implementation of brain tumor detection using segmentation based soft computing, Signal acquisition and processing, IEEE international conference, ICSAP, 2010. [7]. Goyal. S, Shekhar .S, Biwas. K.K, Automatic detection of brain abnormalities and tumor segmentation in MRI sequence, CSC Journals, IJIP, volume 7, Issue 1, 2010. [8]. Vision Assistant- National Instruments Manual [9]. Ambrosini. R.D, Wang. P, O’well.W.G, Computer aided detection of metastatic brain tumors using automated three-dimensional template matching, Journal of Magnetic resonance Imaging(JMRI),2009 [10]. Gonzales. R.C, Woods. R.E, Digital image processing, 3rd edition, Prentice Hall Pearson Publications [11]. M.A. Hayat, Methods of cancer diagnosis, theraphy and prognosis, Brain cancer, Springer, vol 8, 2011. [12]. Pavani Laxmi, Non-invasive method for differentiating malignant and benign tumours, by the optimization of visual demonstration of MRI scans, using virtual instrument, IEEE explore digital library.
Jyothirmai Joshi, N. Moorthy Muthukrishnan, H. Renuka "An Approach for Detection of Brain Tumor using MRI Images Using LABVIEW" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.64-70 2016
This paper presents the theoretical background of digital modulation and evaluates the performance of BPSK, QPSK, and QAM modulation techniques with respect to Bit Error Rate in presence of Gaussian, Rayleigh, and Rician noise. The primary objective of any communication system is to receive the data with minimum errors as the errors degrades the system performance. Bit Error Rate (BER) is an important factor that decides the performance of different modulation techniques. This paper focusses on the effect of different types of noise for the above mentioned modulation schemes under AWGN channel. The complete system is implemented in MATLAB Simulink Environment.
- Page(s): 71-74
- Date of Publication: 15 July 2016
- J. A. DesaiDepartment of E & TC Engineering, NBN Sinhgad School of Engineering, Ambegaon (Bk.). Pune, India
- S. N. KulkarniDepartment of E & TC Engineering, NBN Sinhgad School of Engineering, Ambegaon (Bk.). Pune, India
References
[1] Pratima Manhas and Dr M.K Soni, “Ber Analysis Of BPSK, QPSK & QAM Based OFDM System Using Simulink”, IJEEE, vol 7, issue 2, pp. 54-60, July-Dec 2015. [2] A. Bruce Carlson and Paul B. Crilly, Communication Systems, 5th ed., McGraw-Hill, pp 663-692. [3] Bernard Sklar and Pabitra Kumar Ray, Digital Communications, 2nd ed., Pearson, pp 168-236. [4] Herbert Taub, Donald L. Schilling and Goutam Saha, Principles of Communication Systems, 3rd ed., Tata MaGraw Hill, pp 322-418. [5] B. P. Lathi and Zhi Ding, Modern Digital and Analog Communication Systems, 4th ed., Oxford University Press, pp 520-525. [6] Md. Golam Sadeque, “Bit Error Rate (BER) Comparison of AWGN Channels for Different Type’s Digital Modulation Using MATLAB Simulink”, ASRJETS, pp 61-71. [7] V.Chauhan, M. Arora and R.S. Chauhan, Comparative BER Performance of PSK based Modulation Techniques under Multipath Fading , Advances in Applied Science Research , 2011, 2(4): 521 -524. [8] Haykin, Simon S. Digital communications. New York: Wiley, 1988.
J. A. Desai, S. N. Kulkarni "Effect of Noise on BER of BPSK, QPSK, DPSK, and QAM Modulation Techniques" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.71-74 2016
There has been a tremendous growth in the traffic due to urbanization, industrialization and increase in population. Recently conducted study on traffic management market reports that the traffic management market is expected to grow from $3564.9M in 2014 to $16894.9M by 2019. Hence it has become essential to build an intelligent traffic control and monitoring system in order to resolve the traffic congestion of roads and reduce accidents. This paper is designed to develop a density based dynamic intelligent traffic signal system having remote override facilities. The traffic signal duration changes automatically on sensing the traffic density at the junction and in the event of any emergency vehicle like ambulance, fire brigade etc. requiring priority are built in with RF transmitter and receiver. It overrides the traffic signals by providing instantaneous green signal in the desired direction while blocking the other lanes by red signal for some time.
- Page(s):75-80
- Date of Publication: 15 July 2016
- Mamatha TAssistant Professor, Computer Science, RVCE, Bangalore ,India
- Chaitra CMechanical Department, Student, Computer Science, RVCE, Bangalore, India
References
[1]. Sarika B. Kale, “Embedded System For Intelligent Ambulance And Traffic Control Management”, International Journal Of Computer And Electronics Research Volume 2, Issue 2, April 2013. [2]. Norbert Buch, Member, Sergio A. Velastin, Member, and James Orwell, “Traffic Management”, Malaysian Journal Of Computer Science, Vol.9 No.2 December 2012. [3]. A. Ms Promila Sinhmar, “Intelligent Traffic Light And Density Control Using IR Sensors And Microcontroller”, International Journal of Advanced Technology & Engineering Research (IJATER), 2012. [4]. N.M.Z Hashim, A.S Jaafar, N.A. Ali, L. Salahuddin, N.R. Mohammad And M.A Ibrahim, “Traffic Light Control System For Emergency Vehicles Using Radio Frequency”, Isro Journal Of Engineering, Vol.3, No.7-2013. [5]. Ashwini Y. Dakhole, Mrunalini P. Moon, “Design of Intelligent Traffic Control System Based on ARM”, International Journal of Advance Research in Computer Science and Management Studies, 2013. [6]. Sarika B. Kale, Gajanan P. Dhok, “Design of Intelligent Ambulance and Traffic Control”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2013. [7]. Anh Vu (Student Member, IEEE), Kanok Boriboonsomsin, and Matthew Barth (Senior Member, IEEE), “Intelligent Traffic Light System To Prioritized Emergency Purpose Vehicles Based On Wireless Sensor Network”,International Journal Of Computer Applications (0975 – 8887) Volume 40– No.12, February 2012. [8]. [8] Christopher Stogerer, Wolfgang Kastner, “Traffic Management For Automated HighwaySystems Using Model-Based Predictive Control”, Transactions On Intelligent Transportation Systems, Vol. 13, No. 2, June 2012. [9]. [9] A. Ms Promila Sinhmar, “Intelligent Traffic Light And Density Control Using IR Sensors And Microcontroller”, International Journal of Advanced Technology & Engineering Research (IJATER), 2012. [10]. Amnesh Goel, Sukanya Ray, Nidhi Chandra “Intelligent Traffic Light System to Prioritized Emergency Purpose Vehicles based on Wireless Sensor Network”, International Journal of Computer Applications (0975 – 8887) Volume 40– No.12, February 2012. [11]. Claire Tomlin, Student Member, IEEE, George J. Pappas, Student Member, IEEE, and Shankar Sastry, Fellow, IEEE, “An Automated System For Integrated Service Management In mergency Situations”, Pan-Hellenic Conference On Informatics, 2011. [12]. TaranjeetKaur, Sunil Agrawal, “Adaptive Traffic Lights Based On Hybrid Of Neural Network And Genetic Algorithm For Reduced Traffic Congestion”, Proceedings Of 2014, RaecsUietPanjab University Chandigarh, 2014. [13]. Yang Xiaozhong, An Jinwen, Cui Weng, "The Research on Application of Embedded Auto Code Generation", Journal of Projectiles, Rockets, Missiles and Guidance, vol. 28, No. 3, June 2008.
Mamatha T, Chaitra C "Intelligent Traffic Signal Management System Using Arm-7 Controller" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.75-80 2016
The photo energy or sunlight is main source of natural heat on earth. Sunlight is required necessarily as one element for life on earth. Nature of sunlight is to heating things and environment. In the winter season sunlight feels good because of lower temperature while in summers when the entire environment is hot then sunlight doesn’t give feel well. Winters when heating is required then sunlight or Photo energy can be utilized for heating purpose of buildings and environment surrounding. But in summers when temperature is high outside and inside the premises then it’s required to keep temperature low inside the building. Marble paste can be used as a tool to Passive cooling of building.
- Page(s): 81-83
- Date of Publication: 15 July 2016
- Er. R.P. Singh KushwahPh.D. Scholar Suresh Gyan Vihar University Jaipur, India
- Dr. Om PrakashHOD, Department of Civil Engineering, Suresh Gyan Vihar University Jaipur, India
- Prof. (Dr.) A K SinhaDean Research, Suresh Gyan Vihar University Jaipur, India
[1]. Chaurasia P.B.L (1997) International Journal of Energy Conversion & Management., 33(1997)7-12. “Comparative study of insulating materials in solar water storage systems” [2]. G. Yu, Y. Jung, J. Choi, I. Choy, J. Song, and G. Kim, “A novel two-mode MPPT control algorithm based on comparative study of existing algorithms,” in Proc. IEEE 29th Photovol. Spec.Conf. May 2002, no. 19-24, pp. 1531–1534. [3]. K. Phani Kiranmai and M. Veerachary, “Maximum power point tracking: A PSPICE circuit simulator approach,” in Proc. Int. Conf. PEDS, Nov. 2005, vol. 2, pp. 1072–1077. [4]. V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, and M. B. Srivastava, “Design considerations for solar energy harvesting wireless embedded systems,” in Proc. 4th Int. Symp. IPSN, Apr. 25–27, 2005, pp. 457–462. [5]. F. Simjee and P. H. Chou, “Everlast: Long-life, super capacitor-operated wireless sensor node,” in Proc. ISLPED, 2006, pp. 197–202.
Er. R.P. Singh Kushwah, Dr. Om Prakash, Prof. (Dr.) A K Sinha "Passive Cooling Effect of Buildings with Marble Slurry" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.81-83 2016
The Polycrystalline CdS thin films were deposited on glass substrates by using vacuum thermal evaporation technique. The various properties of the grown CdS thin films such as crystal structure, surface topology, surface morphology and optical constant are studied by XRD, AFM, SEM and UV-VIS Spectroscopy respectively. The X-ray analysis reveals that films are polycrystalline in nature having orthorhombic crystal structure. The AFM and SEM image shows that nano particles are uniformly distributed over the substrate. The elemental analysis can be done by EDAX techniques. The optical band gap was found to be of 2.4 eV.
- Page(s): 84-86
- Date of Publication: 15 July 2016
- Milind S. KaleThin Film and Crystal Growth Lab, Department of Electronics, Pratap College, Amalner Maharashtra, India 425 401
- Kunal N. BagadThin Film and Crystal Growth Lab, Department of Electronics, Pratap College, Amalner Maharashtra, India 425 401
- Sarang P. PathakThin Film and Crystal Growth Lab, Department of Electronics, Pratap College, Amalner Maharashtra, India 425 401
- Deelip S. BhavsarThin Film and Crystal Growth Lab, Department of Electronics, Pratap College, Amalner Maharashtra, India 425 401
References
[1]. Abdullah M.A. Al-Hussam a, Salah Abdul-Jabbar Jassim b,* Journal of the Association of Arab Universities for Basic and Applied Sciences (2012) 11, 27–31 [2]. G.I. Koleilat, L. Levina, H. Shukla, S.H. Myrskog, S. Hinds, A.G. Pattantyus-Abraham, E.H. Sargent, ACS Nano 2, 833 (2008) [3]. J. Tang, K.W. Kemp, S. Hoogland, K.S. Jeong, H. Liu, L. Levina, M. Furukawa, X. Wang, R. Debnath, D. Cha, Nat. Mater. 10, 765 (2011) [4]. K. Kasai, H. Yamada, Y. Kashiwaba, H. Saito, Tech. Rep. Iwate Univ. 7 (1973) 51–60. [5]. M.K. Karanjai, D. Dasgupta, J. Phys. D: App. Phys. 21 (1988) 1769–1772. [6]. P.O. Anikeeva, J.E. Halpert, M.G. Bawendi, V. Bulovic, Nano Lett. 9, 2532 (2009) [7]. J. Zhao, J.A. Bardecker, A.M. Munro, M.S. Liu, Y. Niu, I.K. Ding, J. Luo, B. Chen, A.K.Y. Jen, D.S. Ginger, Nano Lett. 6, 463 (2006) [8]. B. Sun, H. Sirringhaus, Nano Lett. 5, 2408 (2005) [9]. D.V. Talapin, C.B. Murray, Science 310, 86 (2005) [10]. V. V. Stefko, Sov J. Commun. Techno. Electron. 36, 127 (1991). [11]. Y. Iyechika, SPIE Opt. Comput. 88, 103 (2000). [12]. R. Devi, P. Purkayastha, P. K. Kalita, and B. K. Sarma, Bull. Mater. Sci. 30, 123 (2007). [13]. I. Kaur, D.K. Panda, K.L. Chopra, J. Electrochem. Soc. 127 (1988) 943. [14]. Y.F. Nicolaue, M. Dupuy, J. Electrochem. Soc. 137 (1990) 2915. [15]. R.R. Chamberlain, J.S. Skarman, J. Electrochem. Soc. 137 (1966) 86. [16]. H. Matsumoto, A. Nakayama, S. Ikegami, Y. Hiori, Jpn. J. Appl. Phys. 15 (1980) 129. [17]. J. Joseph Sharkey, V. Dhanasekaran, Chang Woo Lee, A. John Peter, Chemical Physics Letters, 503 (2011) 86–90 [18]. Milind Kale, Deelip Bhavsar, International Journal Of Engineering Sciences & Research Technology, 3(4), 2014, 7012-7015 [19]. M S Kale, N T Talele D S Bhavsar, International Journal of Scientific and Research Publications, 4 (2), 2014, 1-4 [20]. M.S. Kale, N.T. Talele, D.S.Bhavsar, IOSR Journal of Applied Physics, Volume 6, Issue 1 Ver. II (Feb. 2014), PP 58-62 [21]. M. S. Kale, Y. R. Toda, M. P. Bhole and D. S. Bhavsar, Electron. Mater. Lett., Vol. 10, 2014, pp. 21-25.
Milind S. Kale, Kunal N. Bagad, Sarang P. Pathak, Deelip S. Bhavsar "Growth and Characterizations of CdS Thin Films Grown by Thermal Evaporation Technique" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.84-86 2016
Data Mining becomes a vital aspect in data analysis. Study on data mining using a synchronized Clustering, Neural based approach gives us the usage trend analysis and it is very much depends on the performance of the clustering of the number of requests. The Self Organizing Networks is useful for representing and building unsupervised learning, clustering, and Visualization and feature maps. Growing Neural Gas is one of the types of Self Organizing Networks. We have trained the neural gas algorithm and transformed the data to adapt input features of resultant trained network. In this paper we are presenting a novel algorithm for clustering to detect patterns of the data. Self Organizing Map identifies the Winning neurons which are used in growing neural gas algorithm with mahalanobis distance measure. Thus the proposed algorithm is hybrid and it combines Artificial Neural Network (ANN) and Principal Component Analysis (PCA).
- Page(s): 87-94
- Date of Publication: 15 July 2016
- Arumugam, P.Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India
- Christy, VDepartment of Statistics, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India
References
[1]. Arumugam, P. and Christy, V., (2013): Advanced Web Usage Mining Algorithm Based on Neural Network and Principal Component Analysis, International Journal of Computer Science & Communication Networks, Vol. 3(3), pp.168-172, ISSN: 2249-5789. [2]. Aguilar.J.S, Ruiz.R, Riquelme J.C and Gir´aldez.R, (2001) SNN:A Supervised Clustering Algorithm, in: 14th Int. Conf. on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE 2001): Lecture Notes in Artificial Intelligence, Springer-Verlag, Budapest, Hungary, June 4–7,2001, pp. 207–216. [3]. Cooley.R. (2000) Web Usage Mining: Discovery and Application of Interesting Patterns from Web Data. PhD thesis, University of Minnesota, May 2000. [4]. Graham .J and Starzyk J, (2008) A Hybrid self Organizing Neural Gas Network , IEEE World Conference on Computational Intelligence (WCCI’08) June 1-6 [5]. Hanafizadeh P, Mirzazadeh M (2011) . Visualizing market segmentation using self organizing maps and fuzzy Delphi method-ADSL market of a telecommunication company. Expert systems with Applications, 38(1), 198-205. [6]. Jirayusakul .A and Auwatanamongkol .S (2000) A supervised growing neural gas algorithm for cluster analysis. [7]. Kohonen.T,(1995). Self-Organizing Maps, Berlin, Germany: Springer, [8]. Martinet.Mz, Berkovich.S and Schulten.K, (1993). Neural-gas network for vector quantization and its application to time series prediction, IEEE Trans. Neural Networks 4(1993)558-569. [9]. Pedrycz.W and Vukovich.G, (2004) Fuzzy clustering with supervision, Pattern Recognition 37(7), 1339–1349. [10]. Qu.Y and Xu.S, (2004) Supervised cluster analysis for microarray data based on multivariate Gaussian mixture, Bioinformatics 20(12), 1905–1913. [11]. Slonim.N and Tishby.N, (1999) Agglomerative information bottleneck, in: Proceedings of the 13th Neural Information Processing Systems, (NIPS). [12]. Sonali Muddalwar and Shashank Kawar, (2012) Applying Artificial neural network in Web Usage Mining, International Journal of Computer Science and Management Research Vol 1 Issue 4 November 2012. [13]. Yu.F, Sandhu..K, and Shih .M. (2000) A generalization-based approach to clustering of web usage sessions. In Proc. of the 1999 KDD Workshop on Web Mining, San Diego, CA. Springer-Verlag, volume 1836 of LNAI, pages 21-38. Springer, 2000. [14]. Zeidat.N, (2005) Supervised Clustering: Algorithms and Application, Ph.D Dissertation, University of Houston. [15]. Xiufen Fang et al., A(2010) Principal Components Analysis Neural Gas Algorithm for Anomalies Clustering. WSEAS TRANSACTIONS on SYSTEMS. Vol 9 Issue 1 Jan 2010.
Arumugam, P. and Christy, V "A Hybrid Clustering Method for Data Mining" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.87-94 2016
Modern buildings contain an increasing amount of electrical apparatuses. This technological explosion is escalating the demand for electrical power to support the equipment which has become an integral part of the way people conduct business. Two types of load assessments are normally carried out in the electrical field. One is done during the design stage when the electrical designer needs to determine the size of conductors and rating of electrical equipment for a new installation. The other is carried out to an existing building that is already equipped with electrical infrastructure but may require an assessment to carry out improvement works or additions to its existing load; in the case of the latter it is known locally as a Load Detail. The following paper is presented as the demand of energy in our country is increasing on large scale leading to large gap between supply and demand and at the same time generation cannot be increased to cater the growing demands because of limited resources in our country, since India being a developing nation there is a need to control and monitor the flow of energy in various sectors and hence energy conservation and use of efficient devices is the only solution. In this paper we have presented the use of energy efficient devices in our campus Baba Ghulam Shah Badshah University as the demand is increasing day by day with the development of campus, we took a survey and analysed different loads prevailing in our campus and evaluated there consumption and compared it with the energy efficient installations, to our surprise we found lot a saving that could be achieved if this is implemented successfully.
- Page(s): 95-98
- Date of Publication: 15 July 2016
- Shafqat MughalDepartment of ERE, BGSB University, Rajouri, India
- Umar MaqboolDepartment of ERE, BGSB University, Rajouri, India
- Tahleela NavidDepartment of ERE, BGSB University, Rajouri, India
- Aaqib FirdousDepartment of ERE, BGSB University, Rajouri, India
- Zahid NazirDepartment of ERE, BGSB University, Rajouri, India
- Ashish SangraDepartment of ERE, BGSB University, Rajouri, India
References
[1] Reference book on Energy management by “Umeshrathore”Publisher Katsons. [2] www.greenbuildingadvisor.com [3] www.bgsbu.org.in [4] www.poweringhealth.org [5] http://homeenergy.com [6] Zhang jian ,zhang yuchan,chen song , gong Suzhou “How to reduce energy consumption by energy audits and energy management” issue date july 31 2011-august 2011 [7] http://www.powersystem.org/load-research [8] Ramaraj V., “How Electronic Ballast Can Reduce Lighting Costs?” Electrical India, Vol 40, No.9, May2008. [9] Fritz W.L.O and Kahn M.T.E., “Energy Efficient Lighting System”’ Journal of Energy, Vol.17 No. 4, November 2006. [10] Ashok S. and Rangan Banerjee, “An Optimization Mode for Industrial Load and Management”, IEEE Transactions on Power Systems Vol. 16, No. 4, Nov. 2007. [11] Singh. H, Seera. M, Mohammad Idin M. A. “Electrical energy audit in a Malaysian university - a case study” Article in conference, Proc. IEEEIntl. Conf. Power and Energy(2102), Kota Kinabalu, pp. 616-619. [12] Electricity bills of the campus BGSB University.
Shafqat Mughal, Umar Maqbool, Tahleela Navid, Aaqib Firdous, Zahid Nazir, Ashish Sangra "Load Assessment & Future Energy Strategies" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.95-98 2016
In this paper, simulation results using MATLAB / SIMULINK of conventional and fuzzy type both power system stabilizers are shown. The performance of the proposed model is tested and performed on Single Machine Infinite Bus System (SMIB). By using different K constant, the performance of SMIB system with proposed model has been analyzed under different system condition i.e. SMIB with excitation system, without excitation system , with excitation system along with conventional PSS (lead-lag) and finally a combination of excitation system and fuzzy logic based PSS. The dynamic models for synchronous machine, excitation system, prime mover, governing system and conventional PSS are detailed in this paper..
- Page(s): 99-104
- Date of Publication: 15 July 2016
- Ritu JainAssistant Professor Suresh Gyan Vihar University Jaipur, India
- Shruti ChoubisaB.E. (Electrical) Suresh Gyan Vihar University Jaipur, India
References
[1]. Prabha Kundur,“Power System Stability and Control”. New York: McGraw-Hill, 1994. [2]. IEEE Recommended Practice for Excitation Systems Model for Power System Stability Studies, IEEE Standard 421.5-1992. [3]. M. Stubbe, A. Bihain, J. Deuse and J. C. Baader, “STAG-A new unified software program for the study of the dynamic behavior of electrical power systems,” IEEE Trans., Vol. PWRS-4, No. 1, pp. 129-138, 1989. [4]. P. Kundur and P. L. Dandeno, “Implementation of advanced generator models into power system stability programs,” IEEE Trans., Vol. PAS-102, pp. 2047- 2052, July 1983. [5]. K.R. Padiyar, Power System Dynamics - Stability and Control, BS Publications, Hyderabad, India, 2002. [6]. Graham Rogers, Power System Oscillations, Kluwer Academic Publishers, London, 2000. [7]. E.V. Larsen and D.A. Swann,“Applying Powers System Stabilizers, Part I; General Concepts, Part II; Performance Objectives and Tuning Concepts, Part III; Practical considerations ”, IEEE Trans on power Apparatus and Systems Vol PAS-100, No.6, pp. 3017-3046, June, 1981. [8]. P. Kundur, D.C. Lee and H.M. Zein El-Din,“Power System Stabilizers for Thermal Units: Analytical Techniques and On-site Validation,” IEEE Trans.on Power Apparatus and Systems, Vol. PAS-100, pp. 81-95, January, 1981. [9]. P.Kundur, M.Klien, G.J. Rogers and M.S. Zwyno, “Application of Power System Stabilizers for Enhancement of Overall System Stability,” IEEE Trans.on Power Systems, Vol 4, pp. 614-626, May, 1989. [10]. K.E. Bollinger, A. Laha, R. Hamilton, T. Harras, “Power System Stabilizer Design Using Root Locus Methods,” IEEE Trans.on Power Apparatus and Systems, Vol. PAS-94, pp.1484-1488, September/October, 1975.
Ritu Jain, Shruti Choubisa "Power System Stability Enhancement Using Fuzzy Based Power System Stabilizer" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.99-104 2016
Flat Plate Collector (FPC) is widely used for domestic hot-water, space heating/drying and for applications requiring fluid temperature less than 100oC. Three main components associated with FPC namely, absorber plate, top covers and heating pipes. The absorber plate is selective coated to have high absorptivity. It receives heat by solar radiation and by conduction; heat is transferred to the flowing liquid through the heating pipes. The fluid flow through the collector pipes is by natural (thermo syphon effect) or by forced circulation (pump flow). For small water heating systems natural circulation is used for fluid flow. Conventionally, absorbers of all flat plate collectors are straight copper/aluminum sheets however, which limits on the heat collection surface transfer area. Thus, higher heat collection surface area is optimized by changing its geometry with the same space of conventional FPC. The objective of present study is to evaluate the performance of FPC with different geometric absorber configuration. It is expected that with the same collector space higher thermal efficiency or higher water temperature can be obtained. Thus, cost of the FPC can be further bring down by enhancing the collector efficiency. A test setup is fabricated and experiments conduct to study these aspects under laboratory conditions (as per IS standard available for the flat plate collector testing). The experimental results revealed that the performance of the solar water heater by using all the materials produced the maximum efficiency of around 40 % to 47 % respectively. And the maximum outlet water temperature reached is below 70⁰C respectively. The order of material priority for better efficiency is copper, aluminium, than stainless steel.
- Page(s): 105-110
- Date of Publication: 15 July 2016
- B. K. GondMechanical Engineering Department, University Institute of Technology, Barkatullah University, Bhopal, India
- S. MittalMechanical Engineering Department, University Institute of Technology, Barkatullah University, Bhopal, India
- P. PrajapatiMechanical Engineering Department, University Institute of Technology, Barkatullah University, Bhopal, India
- R. KhareMechanical Engineering Department, University Institute of Technology, Barkatullah University, Bhopal, India
References
[1]. B. K. Gond, MaheswariRahangdale, Application of Taguchi Method and Grey Relational Analysis to Optimize the Solar Water Flat Plate Collector Processes.Thomson Reuters Researcher Indexed Journal Researcher ID: P-8024-2015, International Journal of Latest Trends in Engineering and Technology (IJLTET) (ISSN: 2278-621X Vol 7 issue 6 1 May 2016. P.P.452-459) Paper ID-IJLTET-2016-608 [2]. B. K. Gond, M.K. Gaur, & C. S. MalviManufacturing and performance analysis of solar flat plate collector with phase change material. International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, Volume 2, Issue 3, P.P.456-559, March 2012). [3]. S.A. Kalogirou, Y. Tripanagnostopoulos (30 January, 2006). These systems are most often used for domestic hot water (DHW) and electricity production. [4]. M.J.M. Pathak, J.M. Pearce and, S.J. Harrison, “Effects on Amorphous Silicon Photovoltaic Performance from High-temperature Annealing Pulses in Photovoltaic Thermal Hybrid Devices” Solar Energy Materials and Solar Cells, 100, pp. 199-203 (2012) [5]. Akhtar N, Mullick SC. Computation of glass-cover temperatures and top heat loss coefficient of flat-plate solar collectors with double glazing. Energy 2007; 32:1067e74. [6]. Alvarez A, Cabeza O, Muñiz MC, Varela LM. Experimental and numerical investigation of a flat-plate solar collector. Energy 2010;35:3707e16. [7]. Szargut J, Stanek W. Thermo-ecological optimization of a solar collector. Energy 2007;32:584e90. [8]. Hottel HC, Woertz BB. Performance of a flat-plate solar-heat collectors. Trans ASME 1942;64:91e104. [9]. Garg HP, Agarwal RK. Some aspects of a PV/T collector/forced circulation flat plate solar water heater with solar cells. Energy Convers Manage 1995;36:87e99. [10]. Nahar NM, Gupta JP. Studies on gap spacing between absorber and cover glazing in flat plate solar collectors.Int J Energy Res 1989;13:727e32. [11]. Yeh HM, Ho CD, Yeh CW. Effect of aspect ratio on the collector efficiency of sheet-and-tube solar water heaters with the consideration of hydraulic dissipated energy. Renew Energy 2003;28:1575e86. [12]. Eisenmann W, Vajen K, Ackermann H. On the correlations between collector efficiency factor and material content of parallel flow flat-plate solar collectors. Sol Energy 2004;76:381e7. [13]. Farahat S, Sarhaddi F, Ajam H. Exergetic optimization of flat plate solar collectors. Renew Energy 2009;34:1169e74. [14]. Liu WL, Hsieh SH, Chen WJ, Wei PI, Lee JH. Synthesis of the CuInSe2 thin film for solar cells using the electrodeposition technique and Taguchi method.Int J Miner Metall Mater 2009;16:101e7. [15]. Jun SI, McKnight TE, Simpson ML, Rack PD. A statistical parameter study of indium tin oxide thin films deposited by radio-frequency sputtering. Thin Solid Films 2005;476:59e64. [16]. Chen CB, Lin CT, Chang CW, Ho CP. Grey relation for solving multi-quality characteristics problems of Taguchi methods. J Technol 2000;15:25e33. hardfacing. J Mater Process Technol 2002;128:1e6.
B. K. Gond, S. Mittal, P. Prajapati, R. Khare "Analysis of Solar Flat Plate Collector" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.105-110 2016
data from XML datasets. Since an XML document can have a small to relatively large amount of size and contain lots of user necessary data. An XML search output should be a part of the XML document which is formatted dynamically at search time, which is formed due to the structuredness of XML. Applying keyword searches over XML documents has number of problems, such as, what are the relevant elements that are matched in the document, way to generate the meaningful results, way of presenting the found results in simple and understanding form and so on. Here, keywords searching technique based on probabilistic approach has been discussed. A probabilistic based XML documents differs from traditional XML documents. The nodes are considered either as ordinary node or distributional nodes. ELM (Extreme Learning Machine) provides venomous advantages such as fast learning speed, ease of implementation. In this paper, ELM has been chosen to classify the nodes and calculate the probability. When keyword is queried, SLCA node results will be searched and probability of SLCA node rooted subtree is calculated by classifying the nodes into ordinary nodes and distributional nodes. The result is compared with existing approaches like Prstack and SVM. The proposed technique results in higher precision with lower execution time.
- Page(s): 111-117
- Date of Publication: 15 July 2016
- Dr. Dayananda. PAssistant Professor, Dept. of ISE, MSRIT, Bengaluru-54, India
- Dilip M DodamaniM.Tech (Software Engineering), Dept. of ISE, MSRIT, Bengaluru-54, India
References
[1]. J. W. Cao, T. Chen, and J. Fan, “Fast online learning algorithm for landmark recognition based on BoW framework,” in Proceedings of the 9th IEEE Conference on Industrial Electronics and Applications, Hangzhou , China, June 2014 [2]. J. W. Cao, Z. Lin, G.B. Huang, and N. Liu, “Voting based extreme learning machine,” Information Sciences, vol. 185, pp. 66–77, 2012 [3]. L. Guo, F. Shao, C. Botev, and J. Shanmugasundaram, “XRANK: ranked keyword search over XML documents,” inProceedings of the ACMSIGMOD International Conference onManagement of Data (SIGMOD ’03), pp. 16–27, 2003 [4]. Y. Xu and Y. Papakonstantinou, “Efficient keyword search for smallest LCAs in XML databases,” in Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD ’05), pp. 527–538, June 2005 [5]. C. Sun, C.-Y. Chan, and A. K. Goenka, “Multiway SLCAbased keyword search in XML data,” in Proceedings of the 16th International World Wide Web Conference (WWW ’07), pp. 1043–1052, Alberta, Canada, May 2007 [6]. J. Zhou, Z. Bao, W. Wang et al., “Fast SLCA and ELCA computation for XML keyword queries based on set intersection,” in Proceedings of the 28th International Conference on Data Engineering (ICDE ’12), pp. 905–916, IEEE, Washington, DC, USA, April 2012 [7]. Cohen, S., Mamou, J., Kanza, Y., Sagiv, Y.: XSEarch: a semantic search engine for XML In: VLDB, pp. 45–56 (2003) [8]. B. Kimelfeld, Y. Kosharovsky, and Y. Sagiv, “Query efficiency in probabilistic XMLmodels,” in Proceedings of the ACMSIGMOD International Conference on Management of Data (SIGMOD ’08), pp. 701–714, June 2008 [9]. Li, G., Feng, J., Wang, J., Zhou, L.: Effective keyword search for valuable LCAs over XML documents. In: CIKM, pp. 31–40 (2007) [10]. Liu, Z., Chen, Y.: Reasoning and identifying relevant matches for XML keyword search. PVLDB 1(1), 921–932 (2008) [11]. Liu, Ziyang, and Yi Chen. "Processing keyword search on XML: a survey." World Wide Web 14.5-6 (2011): 671-707 [12]. Dayananda, P., and Rajashree Shettar. "Survey on Information Retrieval in Semi Structured Data." International Journal of Computer Applications 32.8 (2011): 1-5 [13]. Zhao, Yue, Ye Yuan, and Guoren Wang. "Keyword Search over Probabilistic XML Documents Based on Node Classification." Mathematical Problems in Engineering 2015 (2015).
Dr. Dayananda. P, Dilip M Dodamani "XML Keyword Search Based On Probabilistic Approach" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.111-117 2016
Vastu Shastra is ancient Indian Vedic ( scriptures of religious importance ) and shastra’s (scriptures ) knowledge for construction area to achieve balance, harmony between Gods nature and people thereby paving the way for peace, prosperity, health, happiness and to avoid troubles.Vastu Shastra - meaning theories of planning for buildings, colonies, neighborhood townships and also for interiors. These had been laid down, formulated and used to be practiced centuries back. In recent years an attempt to bring out, rejuvenate, revitalize and adopt this knowledge has been made. These recommendations incorporated with present practice of planning construction and design may enhance the quality of life. Technical aspects of this knowhow for residences have been illustrated in this paper. An attempt has been made to give an idea what Vastu Shastra says. The recommendations and practice for residential building of present world has been compared with principles of vastu shastra.
- Page(s): 118-121
- Date of Publication: 15 July 2016
- Reeta GuptaAssistant Professor, Department of Civil Engineering, LNCTS, Indore, Madhya Pradesh, India
References
[1]. Dr. S.V. Deodhar Vastu Shastra and Valuation. [2]. S.K. Mehta, Vastu Shastra for Prosperity. [3]. Gurucharan Singh, Jagdish Singh, Building Planning, Designing and Scheduling. [4]. National Building Code, India.
Reeta Gupta "Comparison of Vastu Shastra with Modern Building Science" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 7, pp.118-121 2016