VOLUME IV ISSUE XI
Pradeep, Jagginavar S. B., Yogeesh K. J. and ShreeHarshakumar S. S. November 2015 Page No.: 01-06
Among the 20 rabi sorghum genotypes evaluated for the resistance against rice weevil, the genotypes like M 35-1, RSJ 1, KMJ 1, AKJ 1 and CSV 216R possessed higher resistance to S. oryzae with respect to different characters like per cent grain damage [M 35-1 (21.20%) KMJ 1 (27.20%), AKJ 1, RSJ 1 (28.00%) and CSV 216R (36.00%)], grain weight loss [ M 35-1 (4.43g), AKJ 1 (5.60g), SMJ 1 (5.60g), RSJ 1 (5.60g) and CSV 216R (7.20g)] and population buildup of rice weevils [AKJ 1 (15.00), KMJ 1 (25.00), M 35-1 (25.50), RSJ 1 (25.50) and CSV 216R (30.50)]. Whereas, BR 33, BJV 44, BRJ 204 and PhuleRevati were susceptible to the pest.
- Page(s): 01-06
- Date of Publication: 3o November 2015
- Pradeep
Indian Grain Storage Management and Research Institute, Govt. of India. - Jagginavar S. B.
Indian Grain Storage Management and Research Institute, Govt. of India. - Yogeesh K. J.
Indian Grain Storage Management and Research Institute, Govt. of India. - ShreeHarshakumar S. S.
Indian Grain Storage Management and Research Institute, Govt. of India.
References
[1]. Balikai, R.A., 1988, Relative susceptibility of some sorghum genotypes to rice weevil Sitophilus oryzae(L.). Advances in Agricultural Research in India, 10: 109-111.
[2]. Bheemanna, M., Kulkarni, K.A. and Shekharappa, 1994, Susceptibility of some sorghum genotypes to rice weevil. Journal of Maharashtra Agricultural University, 19: 148.
[3]. Jadhav, K., 2006, Biology and management of Rice weevil, Sitophilus oryzae(L.) in pop sorghum. M. Sc. (Agri.) Thesis, Univ. Agric. Sci., Dharwad.
[4]. Kudachi, D.C., 2008, Management of lesser grain borer, Rhizopertha dominica Fab. and rice weevil, Sitophilu soryzae Linn. in stored sorghum. M. Sc. (Agri.) Thesis, Univ. Agric. Sci., Dharwad.
[5]. Kudachi D.C. and Balikai R.A., 2014, Evaluation of rabi sorghum genotypes against rice weevil, Sitophilus oryzae in storage. Ind. J.Entomology.,76( 2): 87-91.
[6]. Ladang Y. D., Ngamo L. T. S., Ngassoum M. B., Mapongmestsem P. M. and Hance T., 2008, Effect of sorghum cultivars on population growth and grain damages by the rice weevil, Sitophilus oryzae L. (Coleoptera: Curculionidae). African J. Agril. Res., 3 (2): 255-258.
[7]. Reddy, U. K. and Pushpamma, P., 1980, Effect of insect infestation and storage on the nutritional quality of different varieties of pigeon pea.Proc. Int. Workshop on Pigeonpea, ICRISAT, Patancheru, Andhra Pradesh, India, pp: 451-453.
[8]. Reddy, K. P. K., Singh, P. U. and Reddy, K. D., 2002, Sorghum resistance to the rice weevil, S. oryzae(L.) : Antixenosis Sci. and Appl., 22: 1-19.
[9]. Sattigi, H.N., 1982, Studies on the biology, chemical control of Sitophilus oryzae Linnaeus (Curculionidae : Coleoptera) and Rhyzopertha dominica Fab. (Bostrychidae: Coleoptera) and residue analysis of insecticides. M. Sc. (Agri.) Thesis, Univ. Agric. Sci., Dharwad.
[10]. Venkat Rao, S., Nuggenhalli, R. N., Swaminathan, N., Pingle, S. V. and Subramanian, V., 1958, Effect of insect infestation on stored grain – III. Studies of insect pests on stored grains.J. Sci. Food and Agric., 9: 837-839.
[11]. Walter, B., 1971, Sorptive dusts for pest control.Ann. Rev. Ent., 16: 123-156.
Pradeep, Jagginavar S. B., Yogeesh K. J. and ShreeHarshakumar S. S. “Evaluation of rabi sorghum genotypes for the resistance against storage pest, Sitophilus oryzae (L.).” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.01-06 2015
For Full Text Click here
M. Nagarajan, Dr. N. Neelakanda Pillai, Dr. S. Perumal November 2015 Page No.: 07-11
The Pure and Cu doped L-Threonine single crystals were grown from aqueous solution by slow evaporation technique. The density of the grown crystals was determined by floatation method and refractive index was determined by using Abbe referctometer. The grown crystals were characterized by FTIR, EDAX, SXRD and PXRD. The crystals grown in the present study, which were found to be orthorhombic, are transparent, hard and stable.
- Page(s): 07-11
- Date of Publication: 30 November 2015
- M. Nagarajan
Associate Professor of Physics
V.O.C.College, Thoothukudi, India - Dr. N. Neelakanda Pillai
Associate Professor of Physics
Arignar Anna College, Aralvoimozhi, India - Dr. S. Perumal
Principal
S.T. Hindu College, Nagarcoil, India
References
[1]. G.Ramesh kumar,S.Gokulraj,R.Mohan,R.JeyavelJ.Crystal Growth,2005,267,213-217
[2]. J.J.RodriguesJr,L.Misoguti, F.D.Numes, C.R.Mendos, S.C.Zilio., 2003,22,235-240
[3]. G.anbazhagan,s.Joseph, Sankar, Opt.Comm.,2013,291,304-308
[4]. Redrothu hanumantha rao, S.Kalainathan, Mater.Res.Bull.,2012,47,987-992
[5]. Tanusri Pal, Tanusree Kar, Gabriel Bocelli and Lara Rigi.,2002,3,13-16
[6]. Armington AF,Poson H and Lipson H, J.Electron.mater., 1973,2,127
[7]. J.madhavan and Ezhilarasi, International Journal of scientific and Engineering Research, 2014, 5, issue3.
[8]. D.Sabashini et al., Advances in applied science research,2013,4(2),238-242
[9]. G.Ramesh kumar et al., may 2008,9,1405-1409
[10]. S.Kalainathan et. al., International Journal of Chem.Tech.Research,2012,4,1478-14784
[11]. Ramesh Kumar et. Al., Advances in material science and engineering.,2009,Article Id 704294
[12]. R.Umamaheshwaria., Indian Journal of research,2013,2.
[13]. S.Masilamani., et. Al., Arabian Journal of Chemistry.,2014.
[14]. G.Ramesh Kumar., S.Gokulraj,R.Shankar,R.Mohan,S.Pandi, R.Jeyavel., J.Crystal Growth,267,213,2004.
[15]. H.Lipson.H.Steeple.,Interpretation of X-Ray Powder Diffraction patterns.,Macmilan,Newyork,1970
[16]. P.T.C.Freire,F.E.A.Melo,I.Guedes,M.A.Araujo Silva,J.Mendes Filho,A.J.D.Moreno,Braz .J.Phys.28,19,1998
[17]. G.Ramesh kumar,S.Gokulraj,R.Mohan,R.JeyavelJ.Crystal Growth,2005,2,1947-1951
M. Nagarajan, Dr. N. Neelakanda Pillai, Dr. S. Perumal “Growth and Structural Studies of Cu Doped L-Threonine Single Crystals” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.07-11 2015
For Full Text Click here
A Naseemul Irfan, M V Molykutty November 2015 Page No.: 12-16
This paper addresses the twin domestic problems of grey water and kitchen solid waste management. Simple sand filter bed method of treatment and the sand filter with reeds are experimented and compared for Waste water management. It also suggests the method of using PVC pipes for making compost from the kitchen waste. Phragmites australis (locally known as nanal) and canna Indica (locally known as cannas) were used as reed plants for waste water treatment . This paper presents the method of construction of reed bed and the effectiveness of removal of various contaminants using root zone treatment process. The quality parameters of raw water and treated water samples were compared and discussed. The waste water generated from the kitchen, school hostel and college hostels of B.S.Abdur Rahman University campus, Chennai, Tamil Nadu are treated in the campus sewage treatment plant (STP) and used for watering the garden. The primary treated water from STP is taken for experimentation by the reed bed system. From the experiment it is found that the Reed bed system using cannas gives the best quality treated water compared to others. Along with reed bed if a pipe composting is adopted, the house hold waste can be holistically managed at source itself and if each household practices this concept, the waste management problem can be eliminated at the same time self cultivated healthy vegetables can be obtained as a byproduct.
- Page(s): 12-16
- Date of Publication: 30 November 2015
- A Naseemul Irfan
Former Student
BSA Crescent Engineering College, Vandalur, Chennai, India - M V Molykutty
Professor
B.S Abdur Rahman University, Vandalur, Chennai
References
[1]. American Public Health Association.(1992). Standard Methods for the Examination of Water and wastewater, 18th Edition, American Public Health Association, Washington, D.C.
[2]. Babbit, H.,E., & Baumann, E.R.(1960). Sewage and sewage Treatment, 8th Edition, Asia Publishing House, Bombay,( p. 389)
[3]. Baskar, G., Deeptha, V.T., & Abdul Rahaman, (2009). A root zone technology for campus waste water treatment. Journal of Environmental Research and Development, 3 (3), 695-705.
[4]. Central Pollution Control Board Guidelines on construction, operation and application of root zone treatment system for treatment of municipal and industrial wastewater.(2003). Central Pollution Control Board, Ministry of Environment and Forests, Government of India, ( pp.1-17).
[5]. Crites,R.W.(1994). Design Criteria and practices for constructed wetlands, Water Science & Technology., 29(4),1-16.
[6]. Devendra Kumar Patel &Kanungo, V.K.(2012).Treatment of domestic waste water by potential application of a submerged aquatic plant Hydrilla verticillata Cas. Recent Researchin Science and Technology 4(10), 56-61.
[7]. Gerald,R.S.,James,T.W.(1993).General Design,Construction,and Operation Guidelines: Constructed Wetlands Wastewater treatment Systems for Small Users Including Individual Residences, Design manual technical report series,Tennessee Valley Authority, Resource Group,Water Management, University of Virigenia, 65(2), 1-84.
[8]. Jan Vymazal, Lenka Kropfelova. (2011). A three-stage experimental constructed wetland for treatment of domestic sewage: First 2 years of operation, Elsevier Journal of Ecological Engineering 37 (1), 90–98.
[9]. Pendleton,C.H., Morris, J.W.F., Goldemund, H., Rozema L.R., Mallamo, M.S. & Agricola,L.(2005). Leachate treatment using vertical subsurface flow wetland systems – findings from two pilot studies, proceedings of Int. Waste Management & Landfill Symposium., (pp 1-10).
[10]. Ram Prasad, C. (2012). Experimental study on waste water treatment using lab scale reed bed system using Phragmitis australias, International journal of environment sciences 3(1), 297- 304.
A Naseemul Irfan, M V Molykutty “Holistic Household Waste Management at Source- An Experimental Study” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.12-16 2015
For Full Text Click here
K.Rajendran November 2015 Page No.: 17-21
A fast Fourier transform (FFT) is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse. Computing a DFT of N points in the naive way, using the definition, takes O(N2) arithmetical operations, while an FFT can compute the same result in only O(N log N) operations. FFTs are of great importance to a wide variety of applications, from Digital Signal Processing to solving Partial Differential Equations. A pipelined Fast Fourier Transform and its inverse (FFT/IFFT) processor, which utilizes hardware resources efficiently, is proposed for MIMO-OFDM WLAN 802.11n. Compared with a conventional MIMO-OFDM implementation, in which as many FFT/IFFT processors as the number of transmit/receive antennas is used, the proposed architecture uses a single FFT processor with mixed radix and hence reduces hardware complexity without sacrificing system throughput. Further, the proposed architecture can support 1–4 simultaneous input data sequences with sequence lengths of 64 or 128, as needed. A theoretical study and computer simulation (MODELSIM) works of the 128/64 point FFT/IFFT processor is presented.
- Page(s): 17-21
- Date of Publication: 30 November 2015
- K.Rajendran
Assistant Professor
Aksheyaa College of Engineering, Pulidivakkam. Kanchipuram Dist, India
[1]. S. Magar, S. Shen, G. Luikuo, M. Fleming, and R. Aguilar, ―An application specific DSP chip set for 100 MHz data rates,‖ in Proc. Int.Conf. Acoustics, Speech, and Signal Processing, vol. 4, Apr. 1988, pp.1989–1992.
[2]. H.Shousheng and M. Torkelson.‖Designing pipeline FFt processor for OFDM (de) modulation, ―in proc.URSI Int ,symp. on signal ,syst,Electron .., Oct 1998,Vol 29,pp-257-262
[3]. J. O’Brien, J. Mather, and B. Holland, ―A 200 MIPS single-chip 1 k FFT processor,‖ in IEEE Int. Slid-State Circuits Conf. Dig. Tech. Papers, vol.36, 1989, pp. 166–167.
[4]. B. M. Bass, ―A low-power, high-performance, 1024-point FFT processor,‖ IEEE J. Solid-State Circuits, vol. 34, no. 3, pp. 380–387, Mar.1999.
[5]. W.-C. Yeh and C.-W. Jen, ―High-speed and low-power split-radix FFT,‖ IEEE Trans. Acoust., Speech, Signal Process., vol. 51, no. 3, pp.864–874, Mar. 2003.
[6]. Y.W .Lin,H,-Y ,Liu ,and C,-Y ,Lee,‖A 1 GS/s FFt/IFFT processor for UWB application ,‖IEEE,J.solid-state circuits, vol ,40,no.8,pp. 1726-1735,Aug ,2005.
[7]. E.E Swartzlander.W.K.W.Ypung ,and S.J.Joseph. ―A radix 4 delay commutator for fast Fourier transform processor implementation. ― IEEE J.Solid –State Circuits,Vol19,no.10,pp,702-709,Oct .1984.
K.Rajendran “Design of Low Power Mixed Radix FFT Processor for MIMO OFDM Systems” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.17-21 2015
For Full Text Click here
Dr. Madhab Chandra Tripathy November 2015 Page No.: 22-25
In this paper the sensitivity analysis of continuous- time fractional order filters has been done to investigate ‘how much the filter’s behavior changes as a component value changes’. In particular, a KHN type fractional biquad filter has been taken where two fractional order elements of order α and β (0 < α, β ≤ 1) are used for realization. It is seen that pole frequency (ωn) and pole quality factor of fractional order filter is more sensitive towards component variations as compared to classical integer order filter; however transfer function sensitivities are less affected due to component variations.
- Page(s): 22-25
- Date of Publication: 30 November 2015
- Dr. Madhab Chandra Tripathy
Department of Instrumentation and Electronics Engineering,
College of Engineering and Technology, Bhubaneswar, India
References
[1]. S. Franco, “Design with operational amplifier and analog integrated circuits”, TMH, third edition, 2002.
[2]. Westerlund S. Capacitor theory.IEEE Transaction on Dielectrics and Electrical Insulation1994;1(5):826–839.
[3]. Macdonald JR (ed.) Impedance Spectroscopy Emphasizing SolidMaterials and Systems. John Wiley and Sons: New York,1987.
[4]. Ionescu C, Muntean I, Machado JAT, Keyser RD, Abrudean M. A theoretical study on modeling the respiratory tract with ladder networks by means of intrinsic fractal geometry.IEEE Transactions on Biomedical Engineering2010; 57:246–253.
[5]. Magin RL.Fractional Calculus in Bioengineering. Begell House Publishers: Connecticut, 2006.
[6]. Moaddy K, Radwan AG, Salama KN, Momani S, Hashim I. The fractional-order modeling and synchronization of electrically coupled neuron systems.Computers & Mathematics with Applications2012;64(10):3329–3339.
[7]. Tripathy MC, Biswas K, Sen S. A design example of a fractionalorder Kerwin-Huelsman-Newcomb (KHN) biquad filter with two fractional capacitors of different order. Circuits, Systems and Signal Processing2013;32(4):1523–1536.
[8]. S. Das, “Functional fractional calculus,” Springer, 2011.
[9]. A. Loverro, “Fractional Calculus: History, Definitions and Applications for the Engineer,” 2004.
[10]. K. B. Oldham and J. Spanier, “The Fractional Calculus,” Academic Press. INC. 1974.
[11]. K. Biswas, S. Sen and P. Dutta, “Realization of a constant phase element and its performance study in a differentiator circuits”, IEEE Trans.-II, vol. 53, pp. 802-806, 2006.
[12]. G. Radwan, A. S. Elwakil and A.M. Soliman, “On the realization of second-order filters to the fractional domain”, Journal of circuits and system, vol. 18, No. 2, pp. 361-386, 2009.
[13]. A.G. Radwan, A. S. Elwakil and A.M. Soliman, “First order filter generalized to the fractional domain”, J. circuits syst. Comput. , 17, pp. 55-66, 2008.
[14]. G. Carlson and C. halijak, “Approximation of fractional capacitors by regular Newton process”, IEEE Trans. Circuits System, vol. 11, pp. 210-213, 1964.
[15]. Maundy, A. S. Elwakil, T. J. Freeborn, “On the practical realization of higher order filters with a fractional stepping”, signal processing, vol. 91, pp. 484-491, 2011.
[16]. K.B. Oldham and C. G. Zoski, “Analogue instrumentation for processing polar graphic data” J.Electroanal Chem., vol. 157, pp. 27-51, 1983
[17]. I. Petras, “Stability of fractional-order System with rational order”, ar Xiv: 0811.4102, vol. 2, [Math. Ds], 2008.
[18]. K. Biswas, S. Sen, and P. K. Dutta, “Modeling of capacitive probe in a polarizable medium‟, Sensors and actuators A: Physical, vol. 120, pp. 115-122, 2005.
[19]. Dingyu Xue and yang Quan Chen, “Sub-optimum rational approximations to Fractional order linear system”, Proceedings of IDETC/CIE, 2005.
[20]. A.G. Radwan, A.M. Soliman, A. S. Elwakil and A. Sedeek, “On the stability of linear system with fractional order elements, Science Direct, vol. 40, pp. 2317-2328, 2009.
[21]. D. Mondal, K. Biswas, Performance study of fractional order integrator using single component fractional order element. IET Circuits Devices Syst.5, 334–342 (2011).
Dr. Madhab Chandra Tripathy, “Sensitivity Analysis of Fractional Order Filter” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.22-25 2015
For Full Text Click here
Suresh V. Menon November 2015 Page No.: 26
In this paper we are talking about the Monitor and Control phase of the project which comes before project closure.
I. MAINTAINING GAINS
If your project has successfully entered the Monitor and control phase you have to make sure that you maintain this stability, here are some suggested ways to protect you’re hard won gains.
* Policy Changes – Which corporate policies should be changed as a result of the project – have some policies become obsolete are new policies needed.
* New Standards- Did the project bring the organization into compliance with a standard. if so having the company adopt the standard might prevent backsliding, there are standards like ISO, ANSI, ASTM etc. from which you can take your pick.
* Modify procedures-procedures describe the way things are supposed to be done , since the project produced better results we can find the best suited procedure which has resulted in better modification or change.
* Change Manufacturing Planning-An organizations manufacturing plan describe in detail how a product is to be processed and produced. Often the Six Sigma team will discover better way of doing things.
* Modify training-personnel need to become familiar with the new way of doing things. Be sure all employees are retrained. Evaluate the existing training materials and revise them as necessary.
- Page(s): 26
- Date of Publication: 30 November 2015
- Suresh V. Menon
Principal Consultant
Cybosol Infotech Pvt. Ltd, India
No References
Suresh V. Menon “Business Process Control Planning” International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.26 2015
For Full Text Click here
Dadasaheb Navale, Shelley Gupta November 2015 Page No.: 27-30
Milk is extracted from mammals during or soon after pregnancy and is used as food for humans. Milk is a white liquid produced by the mammary glands of mammals. It is the primary source of nutrition for young mammals before they are able to digest other types of food. Early-lactation milk contains colostrum, which carries the mother’s antibodies to its young and can reduce the risk of many diseases. Milk is important part of human life. In this paper quality of milk and comparative study of added Glucose and ammonium sulphate present in the milk was done. Various milk samples was analyzed and found that added Glucose and ammonium sulphate were absent in all samples of milk.
- Page(s): 27-30
- Date of Publication: 31 November 2015
- Dadasaheb Navale
Sinhgad Jr. college Vadgaon. Pune, India. - Shelley Gupta
Parvatibai Genba Moze Engineering College Wagholi. Pune, India
References
[1]. Adams, I. K. (2011). What is Nutrient Density? Families, Food and Fitness Home. https://www.extension.org/pages/55447/what-is-nutrient-density.Academy of Nutrition and Dietetics. Practice paper of the American Dietetic Association: Nutrient density: Meeting nutrient goals within calorie needs. Journal of the American Dietetic Association. Academy of Nutrition and Dietetics. What is Nutrient Density? Accessed January 31, 2012 from https://www.eatright.org/Public/content.aspx?id=6442464242. Centers for Disease Control and Prevention. Healthy Weight – It’s not a Diet, It’s a Lifestyle! Rethink Your Drink. Accessed January31, 2012 from https://www.cdc.gov/healthyweight/healthy_eating/drinks.html.
[2]. USDA Food Composition. Nu-trient Data Laboratory. Accessed January 31, 2011 from https://fnic.nal.usda.gov/nal_display/index.php?info_center=4&tax_level=1&tax_subject=279. Carbohydrates in human nutrition: report of a Joint FAO/WHO Expert Consultation, Rome, 14ñ18 April 1997. Rome, Food and Nutrition Organization of the United Nations, 1998 (FAO Food and Nutrition Paper 66).
[3]. CINDI nutrition action plan. Copenhagen, WHO Regional Office for Europe, 1998 (draft document). Comparative analysis of implementation of the Innocenti Declaration. Copenhagen, WHO Regional Office for Europe, 1998 (document EUR/ICP/LVNG 01 01 02). Comparative analysis of nutrition policies in the WHO European Region. Copenhagen, WHO Regional Office for Europe, 1998 (document EUR/ICP/LVNG 01 02 01). Contaminated soil in gardens: how to avoid the harmful effects. Copenhagen, WHO Regional Office for Europe, 1999 (document EUR/ICP/LVNG 03 01 02(A)).
[4]. Craig, W.J. Phytochemicals: guardians of our health. Journal of the American Dietetic Association, 10(Suppl. 2): S199ñS204 (1997).
[5]. Delange, F. et al., ed. Elimination of iodine deficiency disorders (IDD) in central and eastern Europe, the Commonwealth of Independent States, and the Baltic states: Proceedings of a conference held in Munich, Germany, 3–6 September 1997.
[6]. Geneva, World Health Organization, 1998 (document WHO/EURO/NUT/98.1). Department of Health. Nutritional aspects of the development of cancer: report of the Working Group on Diet and Cancer of the Committee on Medical Aspects of Food and Nutrition Policy. London, The Stationery Office, 1998 (Report on Health and Social Subjects 48). Diet, nutrition, and the prevention of chronic diseases: report of a WHO Study Group. Geneva, World Health Organization, 1990 (WHO Technical Report Series, No. 797).
[7]. Prevention in primary care: recommendations for good practice. Copenhagen, WHO Regional Office for Europe, 1994 (document EUR/ICP/CIND 94 01/PB01). Eight guidelines for a healthy diet. A guide for nutrition educators. London, Health Education Authority, 1994. Energy and protein requirements: report of a Joint FAO/WHO/UNU Expert Consultation. Geneva, World Health Organization, 1985 (WHO Technical Report Series, No. 724).
[8]. Fats and oils in human nutrition: report of a joint expert consultation. Rome, Food and Nutrition Organization of the United Nations, 1994 (FAO Food and Nutrition Paper 57). Food, nutrition, and the prevention of cancer: a global perspective. Washington, DC, American Institute for Cancer Research, 1997.
[9]. Heinig, J.M. & Dewey, K.G. Health effects of breastfeeding for mothers: a critical review. Nutrition research reviews, 10: 35ñ56 (1997).
[10]. James, W.P.T. et al. Healthy nutrition: preventing nutrition-related disease in Europe. Copenhagen, WHO Regional Office for Europe, 1988 (WHO Regional Publications, European Series, No. 24).
[11]. John, T. & Romeo, J.T., ed. Functionality of food phytochemicals. New York, Plenum Press, 1997. (Recent Advances in Phytochemistry, Vol. 31).
[12]. Shah, S. K. and S. A. Khan. Factors influencing the protein level in milk. Progressive Farming.1982; 2(6): 10-13.
[13]. Indian dairy industry seen at Rs. 5 lakh cr. Indian Express [Internet] 2011, Nov 18.Acessed from https://www.indianexpress.com/news/on Feb 5, 2012.
[14]. Aneja RP. Processing and distribution of buffalo milk. Proc. XXIII Int. Dairy Cong. held in October 8-12, 1990 in Montreal, Canada. 1: 383-396.
[15]. Milk adulteration: HC issues notices to Maha govt, Centre. Food safety news. 2012 Jan 11.Acessed from https://www.foodsafetynews.com/on Feb 6, 2012.
[16]. AOAC, 1997. Official Methods of Analysis. Association of Official Analytical Chemists, Washington DC, USA.
[17]. James C S. 1995. Determination of the fat content of dairy products by the Gerber Method. Analytical. Chemistry of Food. Blackie Academic and Professionals, an imprint of Chapman and Hall, Glasgow, UK, pp: 93–95.
[18]. Harding F. Milk quality. Blackie Academic and Professionals, an imprint of Chapman and Hall, Glasgow, UK.1995:157-158.
[19]. Javaid SB, Gadahi JA, Khaskeli M, Bhutto MB, Kumbher S, Panhwar AH. Physical and chemical quality of market milk sold at healthline pISSN 2239-337X / eISSN 2320-1525 Volume 5 Issue 1: January – June 2014 PageTandojam, Pakistan. Pakistan Vet. J. 2009; 29(1): 27-31
[20]. Executive Summary on National Survey on Milk Adulteration. Accessed from www.fssai.gov.in/Portals/0/Pdf/sample_analysed.pdf on10 May, 2012.
[21]. Memon AM., 2000. Physico-chemical and hygienic quality of milk supplied to the canteens of various hospitals in Hyderabad city. MSc Thesis, Sindh Agri. Univ, Tandojam, Pakistan.
[22]. Kesenkas H , Akbulut N , Determination of milk quality produced from middle and large scale dairy farms and informal/street milk quality sold in Izmir J of Ege University Faculty of Agriculture .2010; 47(2): 161-169.
[23]. Sreedhar S., Suresh Babu D. Milk Constituents and Microbial Analysis of Mixed Milk Samples in Rural Areas. Ind J of Vet Research.2009; 18(2):31-36.
[24]. Lateef M, Faraz A, Mustafa MI, P. Akthar P , Bashir MK 2009. Detection of adulterants and chemical composition of milk supplied to canteens of various hospitals in Faisalabad city. Pak J Zool.2009;9: 139-142.
[25]. The Food Safety and Standards Act, 2006 –Accessed from www.drugscontrol.org/ on 19 May, 2012.
[26]. Neumann, C., Harris, D.M. & Rogers, L.M. 2002.
[27]. Contribution of animal source foods in improving diet quality and function in children in the developing world. Nutr. Res.,22: 193–220.
[28]. Neumann, C.G., Bwibo, N.O., Murphy, S.P., Sigman, M., Whaley, S., Allen, L.H., Guthrie, D., Weiss, R.E. & Demment M. 2003.
[29]. Animal source foods improve dietary quality, micronutrient status, growth and cognitive function in Kenyan school children: Background, study design and baseline findings. J. Nutr.,133: 3941S–3949S.
[30]. Nyabila, M. 2010. Unlocking value of smallholder dairy through Hub Model – case of Kenya Presentation. Available at: https://cgspace.cgiar.org/handle/10568/3004.Accessed 25 October 2012.OECD & FAO.2008.
[31]. The OECD-FAO agricultural outlook 2008–2017[online]. Available at: https://www.oecd.org/trade/agricultural-trade/40715381.pdf. Accessed 24 October 2012 Parker, J. 2011.
[32]. Doing more with less. The Economist, 24 February 2011. Available at: https://www.economist.com/node/18200606. Accessed 25 October 2012.Peacock, C. 2008.
[33]. Dairy goat development in East Africa: a replicable model for Smallholders? Small Ruminant Res., 77(2–3): 225–238.Peduzzi, C.S.1990.
[34]. Home and community gardens assessment: program implementation experience: The tip of the iceberg.VITAL Report No. TA-2. Arlington, VA, USA, Vitamin
[35]. A Field Support Project (VITAL). 45 pp.Pradel, W., Yanggen, D. & Polastri, N. 2006. Trade offs between economic returns and methane greenhouse gas emissions in dairy production systems in Cajamarca, Peru. Livest. Res. Rural Dev.18(3), article #41. Available at: https://www.lrrd.org/ lrrd18/3/prad18041.htm. Accessed 25 October 2012.Rahman,F.H.1995
[36]. The status of rural women in China.Washington, DC, International Food Policy Research Institute. UN.2011.
[37]. World population prospects, the 2010 revision[online]. United Nations, Department of Economics and Social Affairs. Available at: https://esa.un.org/wpp/ index.htm. Accessed 22 November 2012.UNICEF. 1990.
[38]. Strategy for improved nutrition of children and women in developing countries. Policy Review Paper E/ICEF/1990/1.6. New York, USA.UNICEF. 1998.
[39]. The state of the world’s children. Oxford, UK, Oxford University Press.Walingo, M. 2006. The role of education in agricultural projects for food security and poverty reduction in Kenya. Int. Rev. Educ. 52(3/4): 287–304.
[40]. Walshe, M.J., Grindle, J., Nell, A. & Bachmann, M. 1991.
[41]. Dairy development in subSaharan Africa: a study of the issues and options. Technical paper 135. Washington, DC, World Bank.WeD. 2007.
[42]. Research statement[online]. Economic and Social Research Council Research Group on Well-being in Developing Countries (WeD). Available at: https://www.welldev.org.uk/research/aims.htm.Accessed 23 October 2012.WHO. 2003.
[43]. Diet, nutrition and prevention of chronic disease.Report of a joint FAO and WHO Expert Consultation, Geneva, 2002.
[44]. WHO Technical Report Series 916. Geneva, World Health Organization.World Bank. 2003.
[45]. World development indicators Washington, DC, World Bank.World Bank. 2005a.
[46]. Agricultural investment sourcebook. Washington, DC, World Bank.World Bank. 2005b.
[47]. Afghanistan: national reconstruction and poverty reduction. The role of women in Afghanistan’s future. Washington, DC, World Bank.World Bank. 2007a.
[48]. World development report 2008. Agriculture for development. Washington, DC, World Bank.World Bank.2007b.
Dadasaheb Navale, Shelley Gupta “Study of Buffalo Milk Versus Cow Milk Samples Containing Added Glucose and Ammonium Sulphate” International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.27-30 2015
For Full Text Click here
Vaniki Joshi Lohani November 2015 Page No.: 31-34
With the introduction of millennia 2000 many developing countries in the world came to understand the role of Information Communication Technology (ICT) in the countries growth and development. India also understood the need of the hour and created a draft of policy in 2011 launched finally launched the policy in 2012. Financial inclusion on the other hand ensures the access of appropriate financial products and services needed by lower groups of society at an affordable cost and in fair and transparent manner by mainstream institutional players. Financial inclusion has been accorded high importance by Reserve Bank of India. For this purpose the help of questionnaire was taken in order to understand the usage of ICT by people of different education groups, difficulties they face and remedial changes are offered. This paper treats “education” as a moderating variable and checks its effect over the relationship of ICT usage for Banking services.
- Page(s): 31-34
- Date of Publication: 30 November 2015
- Vaniki Joshi Lohani
Department of Management
S.G.S.I.T.S Indore, Indore, M.P, India
References
[1]. Chang, H.-J. (1983). Conditions for successful technology policy in developing countries: Learning rents, statestructures, and institutions. Maastricht, the Netherlands: United Nations University.
[2]. Chang, H.-J. (2001). The market, the state and institutions in economic development. In H.-J. Change (Ed.), Rethinking ICT role in economic development (pp. 41-60). London: Anthem Press.
[3]. Clark, R. (2002). Reconsidering research on learning from media. Review of Educational Research, 53, 445-459.
[4]. Cohen, D., & Hill, H. (2001). Learning and policy: ICT role and development. New Haven, CT: Yale University Press.
[5]. Coley, R. (2003). Dreams deferred: Financial inclusion and economic growth . Princeton, NJ: Educational Testing Services.
[6]. Collard, S., Kempson, E., Whyley, C., (2001), ‘Tackling financial exclusion’, Bristol: Policy Press.
[7]. Kempson E., A. Atkinson and O. Pilley, (2004), ‘Policy level response to financial exclusion in developed economies: lessons for developing countries’, Report of Personal Finance Research Centre, University of Bristol.
[8]. Leeladhar, V., (2006), ‘Taking Banking Services to the Common Man – Financial Inclusion’, Reserve Bank of India Bulletin.
[9]. Thorat, U., (2007), ‘Financial Inclusion-the Indian Experience’, Reserve Bank of India, Bulletin, July, Vol LXI (7)
[10]. Mohan, R., (2006), ‘Economic Growth, Financial Deepening and Financial Inclusion’, Reserve Bank of India Bulletin.
[11]. Sarma, M., (2008), ‘Index of Financial Inclusion’, Working Paper No. 215, Indian Council for Research on International Economic Relations.
[12]. Sarma, M. ,(2011) ‘International trade and development’, Dis.Paper No. 10, School of International Studies.
[13]. Kumar Nitin (2013), ‘Financial inclusion and its determinants: Evidence from state level empirical analysis in India’, Reserve Bank of India Bulletin.
Vaniki Joshi Lohani “Education as a Factor Effecting Comfort with Technology for the Usage of Online Banking Purposes” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.31-34 2015
For Full Text Click here
A. MOHAMAD RAFI, K. JAGADEESH November 2015 Page No.: 35-39
Productivity plays an important role in the construction industry. It is one of the key components of all company’s success and competitiveness in the market. It helps construction industries to achieve goals and to meet the stakeholder’s valuable propositions. The objectives of the project are; to investigate factors affecting the labour productivity across various nature of projects. To improve productivity and identify the factors affecting the project performance. The above objectives have been achieved through the analysis of questionnaires and the result of this analysis shows that, there are seven main groups which have significant impact on the construction productivity projects. They are man power group, project management, drawings /procedures, site management, safety/quality, labour motivation and environment. Factor analysis and reliability analysis was carried out before analyzing. The result of the study is recommended by conducting Multiple Linear Regression and correlation using statistical package social science (SPSS) which should explain the total variance regarding the factors affecting labour productivity in construction projects.
- Page(s): 35-39
- Date of Publication: 30 November 2015
- A. MOHAMAD RAFI
Master in Construction Management,
B. S .Abdur Rahman University, Vandalur, Chennai-48, India - K. JAGADEESH
Assistant Professor
B. S .Abdur Rahman University, Vandalur, Chennai-48, India
References
[1]. Enshassi, A., Mohamed, A., Mustafa, Z. A., & Mayer, P. E. (2007). Factors affecting labour productivity in building project in the Gaza strip. Journal of Civil Engineering and Management, 8(4), 245-254.H. Kunzel, T. Grosskinsky, Vapor Barrier for Use in the Heat Insulation of Buildings. U.S. Patent, 2004.
[2]. Homyun Jang, Kyonghoom Kim, Juhyung Kim, and Jaejun Kim. (2009). Labour productivity model for reinforced concrete construction projects. Construction Innovationm Process, Management, 11(1), 92-113.
[3]. Homyun Jang, Kyonghoom Kim, Juhyung Kim, and Jaejun Kim. (2011). Labour productivity model for reinforced concrete construction projects. Construction Innovationm Process, Management, 11(1), 92-113.
[4]. Durdyev, S., & Mbachu, J. (2011). On-site Labour Productivity of New Zealand Construction Industry: Key Constraints and Improvement Measures. Australasian Journal of Construction Economic and Building, 1(3), 18-33.
[5]. Soekiman, A., Pribadi, A. S., Soemardi, B. W., & Wirahaddikusumah, R. D. (2011). Fatcors relating to labor productivity affecting the project schedule performance in indonesia. Procedia Engineering, 14(10), 865-873.
[6]. Dissanayake, M., Fayek, R.A., Russell, A.D. and Pedrycz, W. (2005), ―A hybrid neural network for predicting construction labour productivity‖, Proceeding of ASCE International Conference on Computing in Civil Engineering, 12-15 July, Cancun, Mexico.
[7]. Durdyev, S., & Mbachu, J. (2011). On-site Labour Productivity of New Zealand Construction Industry: Key Constraints and Improvement Measures. Australasian Journal of Construction Economic and Building, 1(3), 18-33.
[8]. Soekiman, A., Pribadi, A. S., Soemardi, B. W., & Wirahaddikusumah, R. D. (2011). Fatcors relating to labor productivity affecting the project schedule performance in indonesia. Procedia Engineering, 14(10), 865-873.
[9]. Attar, A.A, Gupta, A.k, Desai, D.B, ‗A Study of Various Factors Affecting Labour Productivity and Methods to Improve It„, Journal of Mechanical and Civil Engineering, 11-14.
[10]. Abdulaziz M. Jarkas,ph.D., P.Eng.1; And Camille G. Bitar, P.Eng, 2012, ‗Factors Affecting Construction Labor Productivity In Kuwait„, Journal Of Construction Engineering And Management .ASC.
[11]. Wen Yi, Albert P.C. Chan, 2013, ‗Critical Review Of Labor Productivity Research In Construction„, Journal Of Management In Engineering.
[12]. Abdul Kadir, M. R., Lee, w. P., Jaafar, M. S., Sapuan, S. M., and Ali, A. A. (2005). ―Factors Affecting Construction Labour Productivity for Malaysian Residential Projects.‖ Struct. Surv., 23 (1), 42–54.
[13]. Mostafa E. Shehata , Khaled M. El-Gohary b, June 2011, Towards improving construction labor productivity and projects performance„, Alexandria Engineering Journal , 50, 321–330 Struct. Surv., 23 (1), 42–54.
[14]. Jimoh, I.A, ‗Effects of delay factors on labour productivity on nigerian construction sites„, Interdisciplinary Journal of contemporary research in business, vol 5, no 4.
A. MOHAMAD RAFI, K. JAGADEESH “Comparison of Productivity across Various Construction Projects” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.35-39 2015
For Full Text Click here
Priyanka Dayal, Prof. Sumint Singh Trivedia November 2015 Page No.: 40-43
Mixing and transport bubbles in bubble column is an important activity which affects the reaction conditions. In this paper, we have studied the effect of different bubble diameters at same velocity in a conical bubble column using CFD code ANSYS fluent 15.0. The dispersed gas-liquid flow in bubble column using the multiphase mixture model was adopted. A set of equations of continuity, momentum & volume fraction were solved by pressure implicit splitting operator (PISO) algorithm to observe the pattern of bubble rising.
- Page(s): 40-43
- Date of Publication: 30 November 2015
- Priyanka DayalPriyanka Dayal
PG scholar
Madhav Institute of Science and Technology, Gwalior, M.P., India - Prof. Sumint Singh Trivedia
Assistant Professor, Department of Chemical Engineering
M.I.T.S, Gwalior, M.P., India
References
[1]. Degaleesan S, Dudukovic M, Pan Y. experimental study of gas-induced liquid-flow structures in bubble columns. AICHE J 2001;47:1913-31
[2]. Prakash A, Margaritis A, Li H. Hydrodynamics and local heat transfer measurements in a bubble column with suspension of yeast. Biochem Eng J 2001;9:155-63
[3]. Luo X, Lee DJ, Lau R, Yang G, Fan L. Maximum stable bubble size and gas holdup in high-pressure slurry bubble columns. AICHE J 1999;45:665-85
[4]. Veera UP, Kataria KL, Joshi JB. Effect of superficial velocity on gas holdup profiles in foaming liquids in bubble column reactors. Chem Eng J 2004;99:53-8
[5]. Essadki H, Nikov I, Delmas H. Electrochemical probe for bubble size prediction in a bubble column. Exp Therm Fluid Sci 1997;14:243-50.
[6]. R. I. Issa, “ Solution of the implicitly discretised fluid flow equations by operator-splitting”, Journal of Computational physics, Vol. 62, pp. 40-65,1986
[7]. Ruzicka MC, Zahadmik J, Drahos NH. Homogeneous-hetrogeneous regime transition in bubble columns. Chem. Eng Sci 2001;56:4609-26.
Priyanka Dayal, Prof. Sumint Singh Trivedia “CFD Investigation of Bubble Column” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.40-43 2015
For Full Text Click here
Roopini. K.S, Dr. Shylaja B.S November 2015 Page No.: 44-47
WSNs are commonly exploited with the motivation of its attribute of Energy Efficiency. However this attribute sometimes could pose as a limitation to the WSN technique, like when its Battery at each Node is utilized completely it can no longer be used or can be used with overhead of Time and cost. So the research focus has directed in identifying better technique with which power can be controlled or a technique with which components of WSN can be utilized limitedly based on the usage thus enhancing the lifetime of battery. In order to progress with the WSNs by overriding the limitations associated with power, EHWSNs are identified which aims at providing long lasting power enabled WSN and also rechargeable batteries thus eliminating the overheads and trade-off associated with usual WSNs. EHWSNs utilizes other forms of natural and available energies such as solar power, wind, mechanical vibrations, temperature variations magnetic fields.
- Page(s): 44-47
- Date of Publication: 30 November 2015
- Roopini. K.S
M.Tech Student,
Dr. AIT, Bangalore, India - Dr. Shylaja B.S*
Head of the Department, ISE
Dr. AIT, Bangalore, India.
References
[1]. WIRELESS SENSOR NETWORKS WITH ENERGY HARVESTING Stefano Basagni, M. YousofNaderi, Chiara Petrioli, and DoraSpenza
[2]. https://www.wsnmagazine.com/hot-research-areas-in-wireless-sensor-networks issue ISSN 2001-6298
[3]. Research Challenges for Wireless Sensor Networks John A. Stankovic Department of Computer Science University of Virginia
[4]. N. S. Hudak and G. G. Amatucci. Small-scale energy harvesting through thermoelectric,vibration, and radio frequency power conversion. Journal of AppliedPhysics, 103(10):1{24, May 2008}.
[5]. 128. J. G. Webster. The measurement, instrumentation, and sensors handbook.Theelectrical engineering handbook series. CRC Press, December 1998.
[6]. R. Heer, J. Wissenwasser, M. Milnera, L. Farmer, C. H•opfner, and M. Vellekoop. Wireless powered electronic sensors for biological applications. In Proceedings of IEEE EMBC 2010, pages 700{703, September 4 2010.
[7]. X. Lu and S.-H. Yang.Thermal energy harvesting for WSNs. In Proceedings of IEEE SMC 2010, pages 3045{3052, October 2010.
[8]. H. Reinisch, S. Gruber, H. Unterassinger, M. Wiessecker, G. Hofer, W. Pribyl, and G. Holweg. An electro-magnetic energy harvesting system with 190 nW idle mode power consumption for a BAW based wireless sensor node. IEEE Journal of Solid-State Circuits, 46(7):1728{1741, July 2011
[9]. C.-Y. Sue and N.-C.Tsai. Human powered MEMS-based energy harvest devices. Applied Energy, 93:390{403, 2012.
[10]. C. Xu, C. Pan, Y. Liu, and Z. L. Wang. Hybrid cells for simultaneously harvesting multi-type energies for self-powered micro/nanosystems. Nano Energy, 1(2):259{272, 2012}
[11]. D.-A. Wang and H.-H.Ko, “Piezoelectric energy harvesting from flow-induced vibration,” Journal of Micromechanics and Microengineering, vol. 20, no. 2, Article ID 025019, 2010. View at Publisher · View at Google Scholar · View at Scopus
[12]. S. Pobering and N. Schwesinger, “Power supply for wireless sensor systems,” in Proceedings of the IEEE Sensors Conference (SENSORS ’08), pp. 685–688, October 2009. View at Publisher · View at Google Scholar · View at Scopus
[13]. L. Bu, X. M. Wu, X. H. Wang, and L. T. Liu, “Liquid-encapsulated energy harvester for low frequency vibrations,” in Proceedings of the 16th International Solid-State Sensors, Actuators and Microsystems Conference (TRANSDUCERS ’11),pp. 1673–1676, June 2011. View at Publisher · View at Google Scholar· View at Scopus
[14]. D.-A. Wang and K.-H. Chang, “Electromagnetic energy harvesting from flow induced vibration,”Microelectronics Journal, vol. 41, no. 6, pp. 356–364, 2010. View at Publisher · View at Google Scholar ·View at Scopus
Roopini. K.S, Dr. Shylaja B.S “Survey on Environmental Energy Harvesting Techniques used for Optimizing Energy in WSN” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.44-47 2015
For Full Text Click here
Ankur Acharya, Rashmi Sakalle, Nita Rajvaidya November 2015 Page No.: 48-54
The foundation of a multi-storey building resting on a settable soil mass undergoes differential settlement which changes the forces in the beams and columns significantly. The multi-storey buildings, it is necessary to consider seismic forces for analysis. The building frame, foundation and soil mass are considered to act as single, compatible structural unit. The strain-stress characteristics of soil mass are responsible for differential settlement which redistributes the forces in the superstructure. In the present work, the linear interaction analysis of an unsymmetrical eight storey plane building frame- homogeneous soil system under seismic loading has been carried out for different types of soil. It is a comparative study of the redistribution of forces of the building frame for the soils having different elastic constants. ANSYS software is used as a tool for finite element analysis of the frame and soil model.
- Page(s): 48-54
- Date of Publication: 30 November 2015
- Ankur Acharya
Department of Civil Engineering
Truba Institute of Engineering and Information Technology, Bhopal, M.P., India - Rashmi Sakalle
Department of Civil Engineering
Truba Institute of Engineering and Information Technology, Bhopal, M.P., India - Nita Rajvaidya
Department of Civil Engineering
Government Polytechnic College, Khurai, M.P., India
References
[1]. A.I.M. Aljanabi, B.J.M. Farid, and A.A.A. Mohamed, Interaction of plane frames with elastic foundation having normal and shear moduli of subgrade reactions, Comput. Struct., 36(6), 1990, 1047-1056.
[2]. Ramakant Agrawal, M.S. Hora, Nonlinear interaction behaviour of plane frame-layered soil system subjected to seismic loading, Int. J. Struct. Eng. Mech., 41(6), 2012
[3]. Ramakant Agrawal, M.S. Hora, Coupled finite-infinite elements modelling of building frame-soil interaction system , ARPN Journal of Engineering and Applied Sciences., 41(6), 2012, 711-734.
[4]. Agrawal R. and Hora M.S., Effect of differential settlements on nonlinear interaction behaviour of plane frame-soil system. ARPN Journal of Engineering and Applied Sciences. 5(7), 2010, 75-87.
[5]. D. K. Jain, M. S. Hora, Interaction analysis of space frame-shear wall-soil system to investigate foundation forces under seismic loading, ARPN Journal of Engineering and Applied Sciences., 9(8), 2014, 1267-1281.
[6]. M. Hora, Nonlinear interaction analysis of infilled building frame-soil system, J. Struct. Eng., 33(4), 2006, 309-318.
[7]. Ramakant Agrawal, Vivek Garg, M.S. Hora, Collapse load assessment for infilled frame-soil media interaction system, Int. J. Civil Eng., 1(2), 2009, 101-109.
[8]. Garg Vivek and Hora M.S., Interaction effect of space frame-strap footing-soil system on forces in superstructure, ARPN Journal of Engineering and Applied Sciences, 7(11), 1402-1415.
[9]. Halkude S.A., Kalyanshetti M.G. and Barelikar S.M., Seismic Response of R.C. Frames with Raft Footing Considering Soil Structure Interaction, Int. . Current Eng and Tech., 4(3),2014
[10]. IS 1893 (Part 1): 2002. Criteria for Earthquake Resistant Design of Structures. (Part 1: General Provisions and Buildings) (5th Revision).
[11]. ANSYS Structural analysis guide
Ankur Acharya, Mrs. Rashmi Sakalle, Mrs. Nita Rajvaidya “Linear Soil-Structure-Interaction Effect on the Columns of an Unsymmetrical Plane Frame for Different Types of Soil” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.48-54 2015
For Full Text Click here
Dadasaheb Navale, Shelley Gupta November 2015 Page No.: 55-58
Milk contains many nutrients that are needed by the body to be able to function and build new cells. Think of it as millions of tiny building blocks. Some of these wear out and they continuously need to be renewed to make you feel well and get the most out of life. Construction of cells is happening all day, every day and the need for the right nutrition is almost the same throughout your life. Milk’s nutrients can be found in many of dairy products. Fruit yogurt for example contains 85-90 per cent milk and provides a good source of vitamins and minerals. Cheese is rich in protein, calcium and vitamin B12, and many of them do not contain lactose. In this paper quality of milk and comparative study of various minerals present in the milk was done. Various milk samples was analyzed and found that value of Calcium (Ca) was higher and Iron (Fe) was lower and Sodium (Na) was in between Ca and Fe. Analysis explained that these values were .negligible as compared to its World Health Organization recommended value while Fe was found very low value.
- Page(s): 55-58
- Date of Publication: 30 November 2015
- Dadasaheb Navale
Sinhgad Jr. college Vadgaon. Pune, India - Shelley Gupta
Parvatibai Genba Moze Engineering College Wagholi. Pune, India.
References
[1]. Canada. 1983a. Nutrition Labelling. Information Letter No. 641, January 31. Ottawa: Food Directorate, Health Protection Branch.
[2]. Canada. 1983b. Recommended Nutrient Intakes for Canadians. Ottawa: Minister of Supply and Services, Canadian Government Publishing Center.
[3]. Canada. 1986. Nutrition Labelling. Information Letter No. 713, July 24. Ottawa: Food Directorate, Health Protection Branch.
[4]. Canada. 1988. SOR/88-559. Canada Gazette, Part II Vol. 122, No. 24, November 1.
[5]. Canada. 1989. Guidelines on Nutrition Labelling. Food Directorate Guideline No. 2, November 30. Food Directorate, Health Protection Branch.
[6]. Canada. 2003. SOR/2003-11. Regulations amending the Food and Drug Regulations (Nutrition labelling, nutrient content claims and health claims). Canada Gazette, Part II 137:154-405.
[7]. Codex, 2013. Guidelines on Nutrition Labelling, CAC/GL 2-1985 – Revision 1993 and 2011. Annex adopted 2011 and revised 2013.
[8]. FDA (Food and Drug Administration), 2014. Food Labeling: Revision of the Nutrition and Supplement Facts Labels – A Proposed Rule, March 3, 2014.
[9]. JN Kallas, Edible wild plants defined. Wild Food Adventurer New sletter, 1996a,1 (2), 3.
[10]. JN Kallas, Edible wild plants from neighbourhood to wilderness: A catalyst for experiential education. In: Association for experiential education 24thAnnual international conference proceedings, Spokane, WA, September 26–29, 1996 pp, 1996b, 140–144.
[11]. Y Guinand, Dechassa L, Indigenous Food Plants in Southern Ethiopia: Reflections on the Role of ‘Famine Foods’ at the Time of Drought. United Nations Emergencies Unit for Ethiopia (UNEUE),Addis Ababa, 2000.
[12]. B Kebu, Fassil K, J. Ethnobiol. Ethnomed., 2006, 2, 53.
[13]. I Dini, GC Tenore, Dini A, Food Chem., 2005, 92, 125–132.
[14]. M Ozcan, Food Chem., 2004, 84:437-40.
[15]. K Gupta, Wagle DS, J Agric Food Chem., 1998, 36, 472–474.
[16]. M Anke, B Groppel, Kronemann H, Significance of newer essential trace elements (like Si, Ni, As, Li, V) for the nutrition of man and animals, 1984.
[17]. W Mertz, Fed Proc., 1982, 41, 2807–2812.
[18]. CP Sanchez-Castillo, PJ Dewey, A Aguirre, JJ Lara, R Vaca, Leon de la Barra P, J Food Compost Anal., 1998, 11, 340–356.
[19]. R Macrae, RK Robinson, Sadler MJ, Food technology and nutrition,1993, 5.
[20]. FH Nielsen, Annu Rev Nutr., 1984, 4. 21–41.
[21]. KT Smith, Trace minerals in foods, New York: Marcel Dekker; 1988, 19, 429–54
[22]. EJM Temminghoff, Houba VJG (Eds.), Plant analysis procedures (2nd ed.). Kluwer Academic Publishers, Dordrecht, Netherlands, 2004.
[23]. A and L Eastern Labs, Sampling for Plant Analysis: how to collect plant samples for nutrient analysis, A&L Eastern Laboratories, Inc. Accessed on 13thNovember 2007, https://al-labs eastern.com/taking_plant_sample.html. 2006.
[24]. AOAC, Official methods of analysis of the Association of Official Analytical Chemists, 13thed., Washington DC, 1980.
[25]. AOAC, Official methods of analysis of the Association of Official Analytical Chemists, 14thed., Arlington, VA, 1984.
[26]. RG Steel, Torrie JH, Principles and procedures of statistics: biometrical approach, 2nded., McGraw-Hill, New York, 1980.
[27]. P Charles, Journal of Internal Medicine, 1992, 231, 2, 161–168.
[28]. GRK Naidu, HO Denschlag, E Mauerhofer, N Porte, Balaji T, Appl. Radiat. Isot., 1999, 50, 947 953.
[29]. NJ Birch, Padgham C, Handbook on metals in clinical and analytical chemistry. Marcel dekker New York, 1994, 71–73.
[30]. CD Berdanier, Advanced nutrition- micronutrients, CRC Press, New York, 1994.
[31]. DW Martin Jr, PA Mayers, VW Rodwell, Granner D K, Harper’s review of biochemistry (20th ed.).Lange Medical Publications, California, 1985, 651–660.
[32]. Institute of Medicine, Food and Nutrition Board, Dietary reference intakes: calcium, phosphorus, magnesium, vitamin D, and fluoride. National Academic Press, Washington DC, 1997.
[33]. MS Turan, S Kordali, H Zengin, A Dursun, SezenY, Acta Agriculturae Scandinavica, Section B, Plant Soil Sciences, 2003, 53, 129–137.
[34]. EI Adeyeye, Otokiti MKO, Discovery and Innovation, 1999, 11 (1&2), 75–81.
[35]. F Meng, Y Wei, Yang X, Journal of Trace Elements in Medicine and Biology, 2005, 18: 333–338.
[36]. Bahna, S., Allergies to Milk, 1980 • Wal JM; “Bovine milk allergenicity,” Ann Allergy Asthma Immunol.2004 Nov;93 (5 Suppl 3):S2-11.
[37]. Messina, Dietitian’s Guide to Vegetarian Diets, 1996 pages 267 – 286.
[38]. John Robbins. May All Be Fed, 1992 page 107.
[39]. Messina, Dietitian’s Guide to Vegetarian Diets, 1996,page 102, 103.
[40]. Sellmeyer DE, et al; “A high ratio of dietary animal to vegetable protein increases the rate of bone loss and the risk of fracture in postmenopausal women.”Am J Clin Nutr.2001 Jan;73(1):118-22.
[41]. Messina”Soyfoods, soybean isoflavones, and bone health:a brief overview,” J Ren Nutr. 2000 Apr;10(2): 63-8.2001.
[42]. Smallholder dairy production and marketing in Eastern and Southern Africa. In D. Rangnekar & W. Thorpe, eds.
[43]. Smallholder dairy production and marketing – opportunities and constraints. Proceedings of a south south workshop held at NDDB, Anand, India, 13–16 March 2001.Anand, India,
[44]. National Dairy Development Board, and Nairobi, International Livestock Research Institute. Available at: https://www.ilri.cgiar.org/InfoServ/Webpub/fulldocs/South South/Ch18.htm. Accessed 25 October 2012.
[45]. Muriuki, H.G., Mwangi, D.M. & Thorpe, W. 2001.
[46]. How smallholder dairy systems in Kenya contribute to food security and poverty alleviation. Paper presented at 28th Tanzania Society of Animal Production Conference, Morogoro, 7–9 August 2001. Available at: https://www.smallholderdairy.org/publications/Conference/Muriuki%20et%20al-2001-Smallholder%20dairy%20and%20food%20security TSAP.pdf. Accessed 25 October 2012.
[47]. Neumann, C., Harris, D.M. & Rogers, L.M. 2002.
[48]. Contribution of animal source foods in improving diet quality and function in children in the developing world. Nutr. Res.,22: 193–220.
[49]. Neumann, C.G., Bwibo, N.O., Murphy, S.P., Sigman, M., Whaley, S., Allen, L.H., Guthrie, D., Weiss, R.E. & Demment M. 2003.
[50]. Animal source foods improve dietary quality, micronutrient status, growth and cognitive function in Kenyan school children: Background, study design and baseline findings. J. Nutr.,133: 3941S–3949S.
[51]. Nyabila, M. 2010. Unlocking value of smallholder dairy through Hub Model – case of Kenya. Presentation. Available at: https://cgspace.cgiar.org/handle/10568/3004.Accessed 25 October 2012.OECD & FAO.2008.
[52]. The OECD-FAO agricultural outlook 2008–2017[online]. Available at: https://www.oecd.org/trade/agricultural-trade/40715381.pdf. Accessed 24 October 2012. Parker, J. 2011.
[53]. Doing more with less. The Economist, 24 February 2011. Available at: https://www.economist.com/node/18200606. Accessed 25 October 2012.Peacock, C. 2008.
[54]. Dairy goat development in East Africa: a replicable model for Smallholders? Small Ruminant Res., 77(2–3): 225–238.Peduzzi, C.S.1990.
[55]. Home and community gardens assessment: program implementation experience: The tip of the iceberg.VITAL Report No. TA-2. Arlington, VA, USA, Vitamin
[56]. A Field Support Project (VITAL). 45 pp.Pradel, W., Yanggen, D. & Polastri, N. 2006. Trade offs between economic returns and methane greenhouse gas emissions in dairy production systems in Cajamarca, Peru. Livest. Res. Rural Dev.18(3), article #41. Available at: https://www.lrrd.org/ lrrd18/3/prad18041.htm. Accessed 25 October 2012.Rahman,F.H.1995
[57]. The status of rural women in China.Washington, DC, International Food Policy Research Institute. UN.2011.
[58]. World population prospects, the 2010 revision[online]. United Nations, Department of Economics and Social Affairs. Available at: https://esa.un.org/wpp/ index.htm. Accessed 22 November 2012.UNICEF. 1990.
[59]. Strategy for improved nutrition of children and women in developing countries. Policy Review Paper E/ICEF/1990/1.6. New York, USA.UNICEF. 1998.
[60]. ]The state of the world’s children. Oxford, UK, Oxford University
[61]. Press.Walingo, M. 2006. The role of education in agricultural projects for food security and poverty reduction in Kenya. Int. Rev. Educ. 52(3/4): 287–304.
Dadasaheb Navale, Shelley Gupta “Detection of Minerals in Buffalo and Cow Milk Samples” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.55-58 2015
For Full Text Click here
Bhabani Sankar Ratha, Kailash Chandra Nayak, Ragini Sukla November 2015 Page No.: 59-65
Academic is the knowledge centre of human beings, which provides platform for gaining knowledge in the specialized area of study, creating opportunities for recruitment, self sufficient, managing family, contributing in the development of the society as well as economic growth of the country. Due to above reasons every parent’s want their children should study in a good environment and groomed their children well as per expectation. The procedure of selecting good institutes is a difficult task with the web based technology and internet because the colorful presentation & pictorial clipping attract everyone even though the institute is not like that. It is also cumbersome to search institute by visit one by one which not only time consuming but also expensive one. In such situation people having the option to believe on the advertisement, websites and what their knowledge speaks about the institute. The ranking institute which are coming in the leading papers, magazines and electronic medias and other sources prepared by various agencies are sometimes not affordable to the parents due to distance, monetary factors and unable to get a position in the state and national level competitions. There is also not any specific formula for analysis of good institute. The research paper used to find a solution to above problems by using weighted fuzzy soft set and dual weighted analysis with the help of different parameters related to academic institutes in an efficient manner and short time.
- Page(s): 59-65
- Date of Publication: 30 November 2015
- Bhabani Sankar Ratha.
Assistant Professor
NIIS Institute of Business Administration, Bhubaneswar, India - Kailash Chandra Nayak
Assistant Professor
Hi-Tech Institute of Technology, Bhubaneswar, India - Ragini Sukla
Assistant Professor
Dr. C. V Raman University, Chhatisgarh, India
References
[1]. Molodtsov P.v (1999) soft set theory first result ,computers and mathematics with application vol.37
[2]. Ahmad B. and Karal a(2009) “on fuzzy soft sets” advance in fuzzy system .
[3]. Majhi P.K, BISWAS R.& Roy A.R (2001) “fuzzy soft sets “ journals of fuzzy MATHEMATICS.
[4]. Bora ,Neog & Sut (2012) “some new operations on intuitions fuzzy soft set” international jouranal of soft computing and engg(ijsce).issn:2231-2307.
[5]. Atanassov .k.(1986) “intuitionist fuzzy set and system “ 20.87-96
[6]. Gua .w.l.& Buehrer .d.j (1993) vague sets.IEEEtrans.system man cabernet 23(2),610-614
[7]. Atanassov .k (1994) operator over interval valued intuition fuzzy set and system 64 ,159-174
[8]. Yao .y.y (1998).relational interpretation of neighborhood operators and rough set operator .111(1-4) 239-259
[9]. Pawalak .z.(1982) rough set international journal of information science 11 341-356
[10]. Cagman N,enginoglu s. and CITAK F (2011) “ Fuzzy soft set theory and it its application “ Iranian journal of fuzzy &system vol-8,n-3
[11]. A. Aygunoglu and H. Aygun, “Introduction to fuzzy soft groups,” Computers & Mathematics with Applications, vol. 58, no. 6, pp. 1279–1286, 2009.
[12]. J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Prentice-Hall, Upper-Saddle River, NJ, USA, 2001.
[13]. L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning. I,” Information Sciences, vol. 8, pp. 199–249, 1975.
[14]. N. N. Karnik and J. M. Mendel, “Applications of type-2 fuzzy logic systems to forecasting of timeseries,” Information Sciences, vol. 120, no. 1, pp. 89–111, 1999.
[15]. N. N. Karnik and J. M. Mendel, “Operations on type-2 fuzzy sets,” Fuzzy Sets and Systems, vol. 122, no. 2, pp. 327–348, 2001.
[16]. J. M. Mendel, R. I. John, and F. Liu, “Interval type-2 fuzzy logic systems made simple,” IEEE Transactions on Fuzzy Systems, vol. 122, pp. 327–348, 2001.
[17]. H. B. Mitchell, “Pattern recognition using type-II fuzzy sets,” Information Sciences, vol. 170, no. 2–4, pp. 409–418, 2005.
[18]. M. Mizumoto and K. Tanaka, “Fuzzy sets of type-2 under algebraic product and algebraic sum,” Fuzzy Sets and Systems, vol. 5, no. 3, pp. 277–290, 1981.
[19]. H. Wu, Y. Wu, and J. Luo, “An interval type-2 fuzzy rough set model for attribute reduction,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 2, pp. 301–315, 2009.
[20]. J. Zeng and Z. Q. Liu, “Type-2 fuzzy hidden Markov models and their application to speech recognition,” IEEE Transactions on Fuzzy Systems, vol. 14, no. 3, pp. 454–467, 2006.
[21]. F. Liu, “An efficient centroid type-reduction strategy for general type-2 fuzzy logic system,” Information Sciences, vol. 178, no. 9, pp. 2224–2236, 2008.
[22]. J. M. Mendel, F. Liu, and D. Zhai, “α-Plane representation for type-2 fuzzy sets: theory and applications,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 5, pp. 1189–1207, 2009.
[23]. J. M. Mendel and D. R. Wu, Perceptual Computing: Aiding People in Making Subjective Judgments, Wiley and IEEE Press, 2010.
[24]. A. R. Roy and P. K. Maji, “A fuzzy soft set theoretic approach to decision making problems,” Journal of Computational and Applied Mathematics, vol. 203, no. 2, pp. 412–418, 2007.
[25]. Z. Kong, L. Gao, and L. Wang, “Comment on A fuzzy soft set theoretic approach to decision making problems,” Journal of Computational and Applied Mathematics, vol. 223, no. 2, pp. 540–542, 2009.
[26]. F. Feng, Y. B. Jun, X. Liu, and L. Li, “An adjustable approach to fuzzy soft set based decision making,” Journal of Computational and Applied Mathematics, vol. 234, no. 1, pp. 10–20, 2010.
[27]. Y. Jiang, Y. Tang, and Q. Chen, “An adjustable approach to intuitionistic fuzzy soft sets based decision making,” Applied Mathematical Modelling, vol. 35, no. 2, pp. 824–836, 2011.
[28]. Thielle,(1999), On the concepts of qualitative fuzzy sets, IEEE International Symposium on Multiple valued Logic, 20-22,
[29]. Molodtsov .D.(1999), Soft set theory-first results, Computers Math. Applic 37 (4/5)19-31
[30]. Yao.H.Y.Y.(1998), Relational interpretations of neighborhood operators and rough set approximation operators, Information Sciences 111 (1-4), 239-259
[31]. Gorzalzany.M.B,(1987) A method of inference in approximate reasoning based on interval-valued fuzzy sets, Fuzzy Sets and Systems 21, 1-17
[32]. Atanassov.k, (1986). Intuitionist fuzzy sets. Fuzzy Sets and Systems 20. 87-96
[33]. Pawlak.Z (1982), Rough sets, International Journal of Information and Computer Sciences 11, 341-356. Zadeh, L.A, (1965) Fuzzy Sets, In/or, and Controls. 338-353.
[34]. _23_ W. Xu, J. Ma, S. Wang, and G. Hao, “Vague soft sets and their properties,” Computers & Mathematics with Applications, vol. 59, no. 2, pp. 787–794, 2010.
Bhabani Sankar Ratha, Kailash Chandra Nayak, Ragini Sukla “Soft Set Approaches for Choosing Good Academic Institution for Higher Studies” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.59-65 2015
For Full Text Click here
Deeksha Gupta, Dr. S Prasad November 2015 Page No.: 66-69
The present work is based on the software ANSYS FLUENT Workbench 15.0. This approach aims to provide an improved prediction of flue gases composition from combustion of pulverized coal when the coal was injected pneumatically. The mathematical models used for the combustion of pulverized coal includes realizable K-ɛ model for turbulent flow, species transport model and discrete phase model. For the purpose of simulating the combustion process, 2D mesh was adapted. The composition of O2 and CO2 is good agreement with literature.
- Page(s): 66-69
- Date of Publication: 30 November 2015
- Deeksha Gupta
PG Scholar
Madhav Institute of Technology & Science, Gwalior (MP), India - Manojranjan Nayak
Associate Professor, Department of Chemical Engineering
M.I.T.S. Gwalior (MP), India
References
[1]. Rajesh Holkar, Dr. Omprakash D. Hebbal: “CFD analysis of pulverized-coal combustion of burner used in furnace with different radiation model” (IOSR-JMCE) ISSN:2278-1684,(2013)
[2]. Jian ZHANG, Wirhan PRATIONO, Lian ZHANG and Zhongxiao ZHANG, “CFD modeling of the Oxy-Fuel combustion of victorian brown coal in drop tube furnace and 3MW pilot scale boiler”, Ninth International Conference on CFD in the minerals and process industries, (10-12), December 2012
[3]. S. GavudhamaKarunanidhi, NitinBalakrishna,G. SubbaRao:“CFD studies of combustion in direct injection single cylinder diesel engine using non-premixed combustion model” Int. Journal of Engineering Research & Application ISSN:2248-9622,(2014)
[4]. Dr. Sameer Sarkar, “Fuels and Combustion”
[5]. Pravin M Nakod“Review of submodels for CFD Modeling of clean coal technology”, IJARPS,ISSN 2349-7874
[6]. S.A. Dudek, Z. Chen and A.N, Sayre: “A computation fluid dynamics model for predicting boiler flow & combustion” International Technical Conference on Coal Utilization & Fuel Systems (BR-1810)
[7]. Cristiano V. da Silva, Maria Luzia S, Arthur B. Beskow, “CFD Analysis of the pulverized coal combustion processes”, J. of the Braz. Soc. Of Mech. Sci. & Eng. (2010)
[8]. ANSYS FLUENT THEORY GUIDE 13.0
[9]. Storm, R. F. and Reilly, “Coal fired boiler performance improvement through combustion optimization”.
[10]. M. A. Douglas, G. K. Lee, E. Croiset, K. V. Thambimuthu, “Oxy- Fuel Combustion at the CANMET vertical combustor research facility”.
[11]. M. Gharebaghi, K.J. Hughes, L. Ma, R.T.J. Porter, M. Pourkashanian and A. Williams, “CFD modeling of mercury behavior in Air-Coal and Oxy-Coal combustion systems.”
Deeksha Gupta, Dr. S Prasad “Prediction of Flue Gas Composition in Coal Combustor: CFD Approach” International Journal of Latest Technology in Engineering, Management & Applied Science vol.4 issue 11, pp.66-69 2015
For Full Text Click here
Ravendra Ratan Singh, Rinky Sharma November 2015 Page No.: 70-85
Automatic License Plate Recognition (ALPR) is a mass surveillance system that captures the image of vehicles and recognizes their license number. ANPR can be assisted in the detection of stolen vehicles. One of the most useful techniques in track management, speed control and security improvement in big cities is Automatic License Plate Recognition (ALPR). This system is designed for the purpose of the security system and is based upon the logic of image processing system. Further the processed data is used for further processes like storing, allowing vehicle to pass or to reject vehicle. LPR is an image processing technology which uses number (license) plate to identify the vehicle. Since the identification is done by using the license plate information, hence there is no need for any additional hardware to be installed on vehicles. The system is implemented on the entrance for security control of a highly restricted area like military zones or area around top government offices e.g. Parliament, Supreme Court etc. It is observed from the experiment that the developed system successfully detects and recognize the vehicle number plate on real images.
- Page(s): 70-85
- Date of Publication: 30 November 2015
- Ravendra Ratan Singh
Computer Science & Engineering Department
Saroj Institute of Technology, Lucknow, India - Rinky Sharma
Computer Science & Engineering Department
Saroj Institute of Technology, Lucknow, India
References
[1]. Lekhana G.C, M.Tech; R.Srikantaswamy, Professor, International Journal of Advanced Technology &Engineering Research (IJATER) Volume 2, Issue 4, July 2012.
[2]. J. A. G. N. M. H. T. Brugge, J. H. Stevens and L. Spaanenburg.License plate recognition using dtcnns.in Proc. 5th IEEE Int.Workshop on Cellular Neural Networks and Their Applications, September 1998.
[3]. R. J. D. l. H. H. A. Hegt and N. A. Khan. A high performance license plate recognition system.in Proc. IEEE Int. Conf. System, Man, and Cybernetics, pages 4357{4362, 1998.
[4]. Norfaeza N. M. (2006), License Plate Recognition using Kohonen Neural Network Algorithm, Shah Alam, Selangor: University Tecknology MARA.
[5]. Karim M.R., Abdullah A.S. &Yasin A.M. (2009), Travel Time Measurement in Real-Time using Automatic Number Plate Recognition for Malaysian Environment. Journal of the Eastern Asia Society forTransportation Studies, vol. 8.
[6]. Naikur B. G. (2010), Car License Plate Detection, Sacramento, California California State University.
[7]. Kapadia P. S. (2010), Car License Plate Recognition using Template Matching Algorithm, Sacramento, California: California State University.
[8]. Nelson L. J. (2007) Plate Recognition. Retrieved December 5, 2012, From https://www.photocop.com/recognition.htm
[9]. Nagare A. P. (2011), License Plate Character Recognition System using Neural Network, International Journal of Computer Applications, vol. 25.
Ravendra Ratan Singh, Rinky Sharma “Automatic License Plate Recognition” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.70-85 2015
For Full Text Click here
Vrushali Mahajan, Anuja Jakhade November 2015 Page No.: 86-89
This paper presents a method for tracking a moving target by fusing visual information from a thermal camera and a visible spectrum color camera.The method used for tracking objects is color based particle filtering.The algorithm selects the modality which distinguishes the foreground objects from the background. The method is evaluated by testing on a variety of challenging video sequences in which targets are camouflaged in either of imaging modalities.
- Page(s): 86-89
- Date of Publication: 30 November 2015
- Vrushali Mahajan
Department of Electronics and Telecommunications,
Cummins College of Engineering, Pune, India - Anuja Jakhade
Department of Electronics and Telecommunications,
Cummins College of Engineering, Pune, India
References
[1]. W. Hu, T. Tan, L. Wang, and S. Maybank. A survey on visual surveillance of object motion and behaviors. IEEE Transactions on Systems, Man and Cybernetics, 34(3):334–350, August 2004.
[2]. A. Doucet, N. de Freitas, and N. Gordon. Sequential Monte Carlo Methods in Practice. Springer-Verlag, New York, 2001.
[3]. A. Ilie, R. Raskar, and J. Yu. Gradient domain context enhancement for fixed cameras. In Asian Conference in Computer Vision, January 2004.
[4]. H. Torresan, B. Turgeon, C. Ibarra, P. H´ebert, and X. Maldague. Advanced surveillance system: Combining video and thermal imagery for pedestrian detection. In Proc. of SPIE, Thermosense XXVI, volume 5405 of SPIE, pages 506–515, April 2004. 24(1), Jan/Feb 2004.
[5]. A. M. McIvor. Background subtraction techniques. In Image and Vision Computing, Hamilton, New Zealand, Nov 2000.
[6]. A. Bhattacharyya. On a measure of divergence between two statistical populations defined by their probability distributions. Bulletin of Calcutta Mathematical Society, 1943.
[7]. A. Yilmaz, O. Javed, and M. Shah. Object tracking: A survey. ACM Computing Surveys, 38: no 4, 2006.
[8]. Y. Yang and G. Sundaramoorthi. Modeling shape, appearance and self-occlusions for articulated object tracking. CoRR, abs/1208.4391, 2012.
[9]. V.VilaplanaandF.Marques. Region-basedmeanshifttracking: Application to face tracking. In ICIP, 2008.
[10]. K. Nummiaro, E. Koller-Meier, and L. V. Gool. A color based particle filter. First International Workshop on Generative-Model-Based Vision, pages 53–60, 2002.
[11]. A. Nakhmani and A. Tannenbaum. Particle filtering with region-based matching for tracking of partially occluded and scaled targets. SIAM Journal on Imaging Sciences, 4(1):220– 242, 2011.
[12]. T. Kailath, The Divergence and Bhattacharyya Distance Measures in Signal Selection, IEEE Transactions on Communication Technology, pp. 52-60, Vol. COM-15(1), 1967.
[13]. G. Kitagawa, Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models, Journal of Computational and Graphical Statistics, pp. 1-25, Vol. 5(1), 1996. 12. D. Koller, J. Weber and J. Malik, Robust Multiple Car Tracking with Occlusion Reasoning, ECCV, pp. 189-196, 1994.
Vrushali Mahajan, Anuja Jakhade “Moving Object Detection Using Particle Filter by Adaptive Fusion of Thermal and Visible Camera Data” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.86-89 2015
For Full Text Click here
Amaresh K S, Naveen Kumar R, Vinay S K, Venkatesh P November 2015 Page No.: 90-92
In current network system there is no centralized management model to monitor the collaboration between users and web application.The primary goal of proposed centralized model is to serve user requests by allowing the creation of cutting-edge, powerful, and complex processing that retain simple and easy-to-use interfaces and creating processes with dynamic codification, allocation, and bilateral execution andproviding a athenaeum to create processes to use combinations of CPUs and a GPU for tasks within a single host program process, a process can be created by using available GPUs. Each process can use all of the multiprocessors of each GPU and have its own separate namespace, and have its own separate CUDA context For C and CUDA kernels to process data efficiently using the available resources.
- Page(s): 90-92
- Date of Publication: 30 November 2015
- Amaresh K S
Assistant Professor,
PESITM, Shivamogga, India - Naveen Kumar R
Net backup Engineer,
Tech Aerosoft Pvt Ltd, Bengaluru, India - Vinay S K
Assistant Professor,
PESITM, Shivamogga, India - Venkatesh P
Assistant Professor,
PESITM, Shivamogga, India
References
[1]. V.W. Lee, C. Kim, J. Chhugani, M. Deisher, D. Kim, A.D. Nguyen, N. Satish, M. Smelyanskiy, S. Chennupaty, P. Hammarlund, R. Singhal, P. Dubey, Debunking the 100x GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU, in: Proceedings of the 37th Annual InternationalSymposium on Computer Architecture, ISCA ’10, ACM, New York, NY, USA, 2010, pp. 451–460.
[2]. C. Nvidia, CUDA C programming guide 5.0, 2012.
[3]. I. Buck, T. Foley, D. Horn, J. Sugerman, K. Fatahalian, M. Houston, P. Hanrahan, Brook for GPUs: stream computing on graphics hardware, in: ACMSIGGRAPH 2004 Papers, SIGGRAPH ’04, ACM, New York, NY, USA, 2004, pp. 777–786,
[4]. A. Munshi, TheOpenCL specification version: 1.2, 2011.
[5]. T. Scogland, B. Rountree, W. chunFeng, B. de Supinski, Heterogeneous task scheduling for Accelerated OpenMP, in: 2012 IEEE 26th InternationalParallel Distributed Processing Symposium (IPDPS), 2012, pp. 144–155.
[6]. S. Hong, H. Kim, An integrated GPU power and performance model, in: Proceedings of the 37th Annual International Symposium on Computer
[7]. Architecture, ISCA ’10, ACM, New York, NY, USA, 2010, pp. 280–289.
Amaresh K S, Naveen Kumar R, Vinay S K, Venkatesh P “Centralized Management with Dynamical Location of Web Applications at Network Level Using Hybrid Computing” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.90-92 2015
For Full Text Click here
Neha Mittal, Khushbu Garg, Ashish Ameria November 2015 Page No.: 93-98
CPU scheduling algorithms are the main factor for performance of multitasking operating system. Where CPU is the main computer resource and round robin algorithm is mainly used as a CPU scheduling algorithm. This is the drawbacks like more perspective switches, higher average waiting time, and higher turnaround time of Simple Round Robin Scheduling algorithm which quantum repeatedly selecting according to the no of processes by arranging a processes in rising order. Based on the experiments and calculation that in this thesis the new modified algorithm solve the fix time quantum problem which considered a challenge for round robin algorithm. The use of this scheduling algorithm increased the performance and constancy of the operating system, which means that the system is who will adapt itself to the requirements Robin Algorithm , This reduces the drawbacks like more is used for the time sharing system In this thesis a new proposed variant of this algorithm presented, elaborate in detail, tested and verified. The new proposed algorithm called Modified Round Robin based on a new method called modified time quantum; the concept of this approach is to make the time context switches higher average waiting time, and higher turnaround time of Simple Round Robin Scheduling algorithm which is used for the time sharing system. This is used for high throughput of the system. When throughput is high then the system performance will increase. This research is useful in the future with the arrival time of the jobs.
- Page(s): 93-98
- Date of Publication: 30 November 2015
- Neha Mittal
Arya College of Engineering & I.T, Jaipur, Rajasthan, India - Khushbu Garg
Arya College of Engineering & I.T, Jaipur, Rajasthan, India - Ashish Ameria
JECRC UDML College of Engineering, Jaipur, Rajasthan, India
References
[1]. Department of Operations Research, University of Aarhus, Ny Munkegade, Building 1530, 8000 Aarhus C, Denmark Tepper School of Business, Carnegie Mellon University, Pittsburgh PA 15213, USA “Round robin scheduling – a survey” Rasmus V. Rasmussen and Michael A. Trick
[2]. I.J. Information Technology and Computer Science, 2012, 10, 67-73 Published Online September 2012 in MECS (https://www.mecs-press.org/)
[3]. DOI: 10.5815/ijitcs.2012.10.08” Determining the Optimum Time Quantum Value In Round Robin Process Scheduling Method”
[4]. https://siber.cankaya.edu.tr/OperatingSystems/ceng328/node125.html.
[5]. Silberchatz, Galvin and Gagne ,2003 .operating systems concepts,(6thedn, John Wiley and Sons)
[6]. Seltzer, M P. Chen and J outerhout, 1990.Disk scheduling revisited in USENIX. Winter technical conference. Shamim H M 1998. Operating system, DCSA-2302.
[7]. School of sciences and Technology. Bangladesh open university Gazipur 1705
[8]. D. M. Dhamdhere Operating Systems A Concept Based Approach , Second edition Tata McGraw-Hill, 2006
[9]. .Operating Systems Sibsankar Haldar 2009 , Pearson Education, India
[10]. Department of computer science and engineering, Barla, sambalpur, orrisa, India ”Design and Performance Evaluation of a New Proposed Shorest Remaining Burst Round Robin(SRBRR) Scheduling Algorithm ” Prof. Rakesh Mohanty, Prof. H.s Behera.
[11]. Yaashuwanth .C & R. Ramesh” Inteligent time slice for round robin in real time operating system, IJRRAS 2 (2), February 2010.
Neha Mittal, Khushbu Garg, Ashish Ameria “A Paper on Modified Round Robin Algorithm” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.93-98 2015
For Full Text Click here
D. Abhyankar, P. Saxena November 2015 Page No.: 99-102
Vertex cover problem has been proved NP complete. Although a lot of research work has been carried out to invent approximation algorithms, exact algorithms to solve the problems remain unexplored to a large extent. We have found an algorithm that performs more efficiently than brute force search or simple backtracking algorithm. Our algorithm does not claim polynomial running time; however it solves the problem more efficiently than brute force search or simple backtracking algorithm.
Page(s): 99-102
Date of Publication: 30 November 2015
- D. Abhyankar
School of Computer Science
D.A. University, Indore, M.P, India - P. Saxena
School of Computer Science
D.A. University, Indore, M.P, India
References
[1]. R.M. Karp, Reducibility among combinatorial problems, Complexity of Computer Computations, Plenum Press, 1972.
[2]. Stanley Lippman, Essential C++, Addison-Wesley, 2000.
[3]. Cormen, Thomas H.; Leiserson, Charles E.; Rivest, Ronald L. (1990). Introduction to Algorithms (first ed.). MIT Press and McGraw-Hill. ISBN 978-0-262-03141-7.
[4]. https://www.dharwadker.org/vertex_cover/,2015
[5]. https://en.wikipedia.org/wiki/Vertex_cover,2015
[6]. https://www.dharwadker.org/pirzada/applications/2015
D. Abhyankar, P. Saxena “An Interesting Algorithm to Solve Vertex Cover Problem” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.99-102 2015
For Full Text Click here
Ritu Punia, Dr. Shankar Choudhary November 2015 Page No.:103-104
The recent emergence of online social networks has changed the technological and communications landscape of the hospitality and tourism industry .Social media becomes an important communication tool that people use to connect to other people or organization .individuals use social media to share their experiences, information, advice, information or reviews or any kind of issues that are fascinating to their friends . That information is a useful source, which may influence consumer’s decision – making. Consumer feel safer subscribing to opinions stated by masses as people try to imitate others behaviour. The social media environment is easily applicable and reachable to the customers. The benefits offered by the social media help people in achieving in a very convenient way what they are looking for. It is a human tendency to believe in and follow the same what their friends recommend. Facebook ,Twitter or Myspace being the most popular social media sites allows people to share their lifestyles, success stories and even their vacation mark and experiences of the same .The information posted on these sites can lead their connections or friends to follow the same and hence can influence their decision.
- Page(s): 103-104
- Date of Publication: 30 November 2015
- Ritu Punia
Research Scholar, Pacific University, India - Dr. Shankar Choudhary
Associate professor, Pacific University, India
References
[1]. 1.Fotis. J., Buhalis. D.,&Rossides. N. (2012).Social Media Use and Impact during the Holiday Travel Planning Process.Retrieved from: https://eprints.bournemouth.ac.uk/19262/1/Fotis_et_al_2012_Social_media_use_and_impact_during_the_holiday _travel_planning_process.pdf 9.Hvass, K. and Munar, A. (2012).
[2]. G. seth (2012). Analyzing the Effects of Social Media on the Hospitality Industry.https://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=2338&context=thesesdissertations
[3]. IllianAssenov and NainaKhurana (2012) .Social media marketing and hospitality industry evidence from Thailand.
[4]. J. Kang (2011) .Social media marketing in the hospitality industry: The role of benefits in increasing brand community participation and the impact of participation on consumer trust and commitment toward hotel and restaurant brands. https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1384&context=etd
[5]. JM Kwon ( 2011). Online Consumer Herding Behaviours in the Hotel Industry
[6]. Mahmood, A. and others, (2012).Social Media’s Influence on Hospitality \& Tourism Management. Journal of Business \& Hotel Management
Ritu Punia, Dr. Shankar Choudhary “Impact of Societal Media on Buyer Behaviour in Hospitality and Tourism Industry: A Review” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.103-104 2015
For Full Text Click here
Dr. R. Kuselar November 2015 Page No.: 105-107
Organisational performance depends upon the well being of employees like physical, mental, spiritual, social and family conditions. However, employees may experience problems or conflicts in any of the above areas. This condition is bound to affect their work performance which should become the concern of the management. Employee counselling systems may be introduced to bring about a positive work performance attitude. This article explores the need and characteristics of employee counselling as a remedial process to initiate action plans.
- Page(s): 105-107
- Date of Publication: 30 November 2015
- Dr. R. Kuselar
Professor in Management Studies
V.R.S. College of Engineering & Technology, Arasur, Villupuram Dt, Tamil Nadu, India
References
[1]. Sehwenk E (2006) “The work place counsellor‟s toolbox”. Counselling at work. 51, PP. 20-23.
[2]. Royal collage of nursing (2006) “Counselling for staff in health service settings: a guide for employers and managers.
[3]. McLeod J, (2010).” Counselling in the workplace: the facts. A systematic study of the research evidence”. BACP
[4]. Health and Safety Executive (2004)” what are the management standards for work related stress?”
[5]. BACO (2014). What is counselling and Psychotherapy?
[6]. Business in the community (2014). Engagement and well being: creating healthier, happier and more productive employee is a key issue for responsible business.
[7]. Jenkins P (2007).” Workplace counselling and the duty of care.” Counselling at work, 53, PP 16-19
[8]. Ramli, P(2002) Attitudes towards counselling services and the effective counsellor, New York: McGraw – Hill.
Dr. R. Kuselar “Organisational Practices of Counselling to Reduce Employee Stress and Enhance Performance-A Review” International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 11, pp.105-107 2015
For Full Text Click here