Cloud computing, enables companies to several attractive benefits for business deals. In which software applications are depending on the cloud storage centers, service providers, resource allocators, data servers, and many processing models, while selecting multiple service providers for computing resources it improves performance, cost reduction than single cloud service provider. Federated clouds also a generic term, coordination between the delegations of producer service cloud customer. Where it satisfies efficiency, cost effective, collaboration with service providers, it reduces overall management and infrastructure cost so that consumers can get services with less cost and high resources. In multi cloud the sharing of resources from service provider to consumer in an efficient way in federated cloud is a critical task. Achieving the cloud management, while adding the multiple clouds. In this paper, the vendor lock-in problem of consumer and service provider getting resources with various processing levels, different methods and challenges in federated cloud architecture are provided in a specified study.
- Page(s): 01-05
- Date of Publication: 15 January 2017
- Pappu SowmyaP.G.Student, School of Computer Sciences and Engineering VIT University, Chennai. 6000127
- R. KumarAssociate Professor, School of Computer Sciences and Engineering VIT University, Chennai. 6000127
References
[1]. European grid Infrastructure, http://www.egi.com/resources/,Accessed 10 Oct 2015 [2]. Amazon Elastic Compute Cloud, 2015,http://www.aws.amazon.com/EC2/ resources, Accessed 25 Aug 2015 [3]. Open Cloud Computing and Hosting servers, Rackspace,http://www.rackspace.com/,Accessed 5 Sep 2015 [4]. Windows Azure: Microsoft’s Cloud Platform, Hosting,Developing,Services,2015,http://www.windowsazure.com/, and Accessed on 25 July 2015 [5]. Kurze, David Bermbachy , Klemsy, “Cloud federation” In Proceedings of the 2nd International Conference on Cloud Computing GRIDs, and Virtualization. Volume 3, PP 32-38, 2011. [6]. Dr.Ahmad kayed ,Osama shareef “Survey on Federated clouds” In proceedings with International Journal of Advanced Research Paper, Volume 5,Issue 2,February 2015 [7]. Diamond S and Morrow M, Bernstein, “Blueprint for the Inter-cloud” In Proceedings of the Fourth International Conference on Internet and Web Applications and Services, (2009), vol-9, pp.328-336. [8]. J. Abawajy, R. Buyya, A. Beloglazov, Energy efficient management of data center resources for cloud computing,In Proceedings with“International Conference on Parallel and Distributed Processing Techniques and Application” Las Vegas, USA, 2010. [9]. VMware Virtualization Software for Desktops, Servers. http://www.vmware.com/,Accessed on 20july 2015. [10]. Enterprise Cloud Computing - CloudSwitch, http://www.cloudswitch.com/resources/, Accessed on 10 September 2015. [11]. Resource leasing and suspending virtual machines, http://www.opennebula/onevcloud.com/resources “A characterised on federated clouds “Proceedings on 11th IEEE International Conference on High Performance Computing and Communications, 2009, pp. 59–68. [12]. D. Nurmi, R. Wolski, G. Obertelli, S. Soman, D. Zagorodnov, The eucalyptus open-source cloud-computing system, http://eucalyptus.com/resources ,in procedings with : International Symposium on Cluster Computing and Grid, Shanghai, China, 2009. [13]. H. Kim, S. Chaudhari, M. Parashar, Aneka cloud infrastructure and Online risk analytics on the cloud, in: Proceedings of the 2009, http://www.aneka.org/networks/ 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009, pp. 484–489. [14]. R. S. Montero, and I. M. Llorente, “IaaS Cloud Architecture: Virtualized Datacenters to Federated Cloud Infrastructures,”vol. 45, no. 12, pp. 65-72. [15]. Operating system with linux environment www.centos.org/about/isoimages,Accessed to the resources. [16]. www.computenext.com/blog/what-is-the-relationship-between-hybrid-clouds-and-federated-clouds [17]. Cloud computing-Challenges, Limitations and R&D Solutions by zaigham Mohmood. link.springer.com/chapter/10/pages 277 to 296. [18]. Benny Rochwerger “An architecture for federated cloud computing”Volume-25, issue no: 6 and pp 599-616.
Pappu Sowmya, R. Kumar "An Efficient Approach to Implement Federated Clouds" International Journal of Research and Scientific Innovation-(IJRSI) vol.4 issue 1A, pp.01-05 2017
In this paper we study grain refinement in steels at ultrafine level i.e. ultrafine ferrite formation by dynamic strain induced transformation(DSIT). DSIT is essentially a process of spontaneous dislocation induced discontinuous decomposition of metastable austenite under deformation to nano sized carbides and ultrafine ferrite. Post transformation deformation of ferrite envisages a continuous dynamic recrystallisation accomplished through continuous increase in misorientation across the boundaries due to defect accommodation; in the process a ferrite grain ,after completion of its transformation growth on account of inevitable impingement with similarly growing grains and being continuously deformed constitutes elongated micro volumes separated by high angle misorientation(ferrite submicrob and).Continued deformation entails the attainment of boundary migration enthalpy minimum which prohibits further reduction in the width of ferrite submicrobands ;crosswise emanation of new subboundaries result in the division of the original ferrite grains into very fine near polygonal micro volumes of high angle boundaries.
- Page(s): 06-10
- Date of Publication: 15 January 2017
- Harikesh SinghDepartment of Mechanical Engineering IIMT College of Engineering, Greater Noida
- Zakir Ali HydariDepartment of Mechanical Engineering IIMT College of Engineering, Greater Noida
- Shyam Singh RawatDepartment of Mechanical Engineering ITM University, Gwalior
- Dr. V. K. SharmaDepartment of Metallurgical EngineeringMNIT, Jaipur
- Prof. M. K. BanarjeeDepartment of Metallurgical Engineering MNIT, Jaipur
References
[1]. Hodgson P D, Hickson M R, Gibbs P K. Ultrafine ferrite in low carbon steel. Scr Metal Mater 1999;40:1179. [2]. Xinjun Sun, Qingyou Liu, Han Dong, DIFT and grain refinement in low carbon steel; CISRI,Beijing. [3]. Beladi ibid 2004 V20 P213 [4]. G.Azevedo, R.Barbosa, E.V.Pereloma, D.B.Santos. Development of an ultrafine grained ferrite in a low C-Mn and Nb-Ti microalloyed steels after warm torsion and intercritical annealing; Material Science and Engineering, A402(2005)98-108. [5]. Y.Saito, H.Utsunomiya, N.Tsuji, T.Sakai; Acta Mater, 47(2) (1999)579-583. [6]. R.Ueji, N.Tsuji, Y.Saito, Y.Minamino; ISUGS2001, Fukuoka, Japan, PP.222-225. [7]. Masaki Tanaka, Kenji Higasida, Tomotsugu Shimokawa and Tatsuya Morikawa. Materials Transactions, Vol. 50, No.1(2009), pp.56-63. [8]. Dong Hyuk Shin, Byung Cheol Kim, Yong Seog Kim and Kyung Tae Park; Acta Mater .48(2000)2247-2255. [9]. E.G.Astafurova, S.V.Dabatkin, E.V.Naydenkin, S.V.Shegalina, G.G.Zakharova and Yu.F.Ivanov; ISSN 1995-0780, nanotechnologies in russia,2009,vol.4, Nos. 1-2, pp.109-120. Pleiades publishing ltd., 2009. [10]. H.Beladi, G.L.Kelly, A.Shokouhi, P.D.Hodgson. The evolution of UFF through DSIT. Mat.Sc. and Engg. A371(2004)343-352. [11]. H.Yada; ISIJ 40 2000 P200. [12]. Hurley et.al. Mat. Sc. and Tech.; 2001 V17 P1360. [13]. JFC Lin et.al. ibid 457 2007 P205. [14]. Adachi et.al. Acta Mater 55 (2007) P4925. [15]. Hodgson et.al. ISIJ V48 No.8 2008 p1046. [16]. A.Beliakovet al. ibid 1071.
Harikesh Singh, Zakir Ali Hydari,Shyam Singh Rawat, Dr. V. K. Sharma, Prof. M. K. Banarjee "Ultra Fine Ferrite Formation through Dynamic Strain Induced Transformation - A Review" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.06-10 2017
For high performance and portable applications, Energy efficiency is one of the most required features for modern electronics systems design. This article proposes the implementation of FIR Filter using low power adder and multipliers. The ever increasing market segment of portable electronics devices demands the availability of low power building blocks. With the explosive growth in Laptops, portable personal communication systems and evaluation of the shrinking technology and flexible circuits, the efforts in low power micro electronics has been identified. In this scheme the function of adder is minimized by a technique called scaling and rounding-off Filter coefficient and truncation of unnecessary bits in order to reduce the power consumption of FIR Filter. Evaluation of power, area and speed for different types of adders and multipliers is carried out and the FIR filter is designed with optimized combination of adders and multipliers for low power and high speed application. The Full Adder designed with multiplexers do not exhibit any leakage problems and short circuits problems. The current trend towards low-power design is mainly driven by two forces, the growing demand for long-life autonomous portable equipment and the technological limitations of high- performance VLSI systems. The proposed Design of High Speed FIR Filter for DSP Application with Optimized Adder & Multiplier is simulated using Active HDL and implemented using Tanner tool.
- Page(s): 11-14
- Date of Publication: 15 January 2017
- V.N. Mahawadiwar Assistant Professor, K.D.K. College of Engineering, Nagpur, Maharashtra , India
- S. S. ShriramwarAssistant Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra , India
References
[1]. M. Kathirvelu, T. Manigandam, “Design of low power, High speed FIR Filter with optimized PDP Adders and Flip-Flops for DSP Applications”, European Journal of Scientific Research ISSN 1450-216X Vol. 76 No.2 (2012), pp 214-225. [2]. “CMOS Full-Adders for Energy-Efficient Arithmetic Applications”, of Mariano Aguirre- Hernandez and Monico Linares-Aranda. IEEE Transactions on very large scale integration (VLSI) systems, Vol. 19 No. 04, April 2011. [3]. Hosseinghadiry.M, Mohammadi.H, Nadisenejani.M " Two New low power High Performance Full adders with minimum gates" International journal of Electronics, Circuits and System, vol 3 ,No2 2009. pp. 124 - 131. [4]. Yingtao Jiang, Abdulkarim AI - Sheraidah, Yuke Wang, Edwin Sha,and Jin-Gyun Chung, 2010, " A novel multiplxer based low power full adder" IEEE transaction on circuits and systems - II Express Briefs, Vol52, No 7 `pp- 55-61. [5]. Zaid Al-bayati , Bassam Jamil Mohd, Sahel Alouneh Low power Wallace multiplier design based on wide counters International Journal of Circuit Theory and Applications MAY 2011 issue1 pp 26 - 32. [6]. Weste N. and Eshraghian , 1993, "Principles of CMOS VLSI Design:" A System Perspective. MA: Addison- Wesley. [7]. Senthilpari .S, "A Low-power and High-performance Radix-4 Multiplier Design Using a Modified Pass-transistor Logic Technique" IETE journal of Research, 2011 , Volume 57 Issue 2, PP 149-155. [8]. J. M. Rabaey, A. Chandrakasan, and B. Nikolic, Digital Integrated Circuits, A Design Perspective, Prentice Hall, second edition, 2003. [9]. Proakis J.G and Manolakis D.G, Digital Signal Processing - Principles, Algorithms and Applications New Delhi: Prentice-Hall, 2000. [10]. Rajendra M, Patrikar.K,Murali, Li Er Ping, "Thermal distribution calculations for block level placement in embedded systems" Micro electronics Reliability 44(2004) 129- 134. [11]. Chi-Jui Chou, Satish Mohanakrishnan, Joseph B. Evans, Telecommunications & Information Sciences Laboratory Department of Electrical & Computer Engineering University of Kansas Lawrence, KS 66045-2228, FPGA Implementation of Digital Filters”. [12]. Abdul karim al-sheridha,yingto jiang and Edwin sha 2010,”a novel power multiplexer- based full adder ,European conference on circuit theory and design, august 28-31 espoo,finland. [13]. Jing H.T. bui y.w. ang and design and anylesis of low power 10-transistor full adder using novel xor xnor gates.IEEE trans on circuit and system-II analog and digital signal processing(200) vol49,pp25-30. [14]. Keivan navi and omid kavehei, February 2008,”low power and high performance 1-bit cmos full adder cell”journal of computers,vol3,no 2pp 36-41 [15]. Keivan navi and omid kavehel,2008”design of high –performance full adder cell by combining common digital gates and majority function” European journal pf science research issn1450-216x vol no4,pp626-638. [16]. Monico linares aranda mariano Aguirre Hernandez new high performance full adder using alternative logic structure,computation and systems vol14.no.3 2011 pp213-223. [17]. Parks t w and burrus c.s. digital filter design new York wiley1987. [18]. Prokies t.w. and burrus c s digital filter design new York wiley 1987 [19]. Proakis j.g. manolakis d.g. digital signal processing-principles,algorithms and application new delhi prentice-hall2000 [20]. Veeramachaneni ,M.B.Srinivas,”new improved 1 bit full adder cell” CCECE/CGEI,Canada 2009,pp 45-51
V.N. Mahawadiwar, S. S. Shriramwar "Optimized High Speed FIR Filter Design for DSP Applications" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.11-14 2017
Organization culture and its impact on employee’s productivity has been an important theoretical and practical issue for most of the HR practitioners and researches for instance. The focus of the study was to find out the impact of organization culture on employee productivity. Data was collected using a structured questionnaire. The sample size taken for the purpose of the study is 200 which were randomly selected from the Top, Middle and Lower level of employees in Pharmaceutical industries of M.P. For data analysis t-Test, Multiple Regression analysis and Factor analysis has been used. The result of the study reveals the positive and negative impact on employee productivity in pharmaceutical industry.
- Page(s): 15-20
- Date of Publication: 15 January 2017
- Sapna VyasAssistant Professor, Dr. A.P.J. Abdul Kalam University, Indore
[1]. Aswathappa, K. (2003). Organizational Behaviour. Bangalore: Publishing House. [2]. Abraham M, Fisher T & Crawford J (1997). Quality Culture and the Management of Organization Change. International Journal of Quality & Reliability Management, Vol. 14, No.6, pp. 616 – 636. [3]. Alphonsa, V. K. (2000). HRD Climate in a Private Hospital in Hyderabad: An Empirical Study. Indian Journal of Training and Development, Vol.30, No.4, pp.50-67. [4]. Alharbi, M. & Alyahya, M. (2013). Impact of Organizational Culture on Employee Performance. International Review of Management and Business Research, Vol.2 Issue.1 [5]. Armstrong, M. & Baron, A. (1998). Performance Management: The New Realities. London: Institute of Personnel and Development. [6]. Deal E. & Kennedy A. (1982). Corporate Culture: The Rites and Rituals of Corporate Life: Reading: Addison- Westley. [7]. Denison, D. R. & Mishra, A. K. (1995). Towards a Theory of Organizational Culture and Effectiveness. Organization Science, Vol. 6, No.2, pp. 204-23. [8]. Padmakali Mishra & Gopa Bharadwaj (2002).Human Resource Development Climate: An Empirical Study among Private Sector Managers. Indian Journal of Industrial Relations, pp. 66-77. [9]. Kotter, J. P. & Heskett, J. L. (1992). Corporate Culture and Performance. New York: Free Press. [10]. Kotter, E. H. & Heskett, O. K. (1992). Culture: The Missing Concept in Organizational Studies. Administrative Science Quarterly, Vol. 4, No.2, pp. 229-240. [11]. Mufeed, S.A. (2006). Enhancing Educational Institutions Effectiveness through HRD Climate: An Empirical Study. Management and Change, Vol. 10, No.2, pp. 25-64. [12]. Mathew, J. (2007). The Relationship of Organizational Culture with Productivity and Quality: A Study of Indian Software Organizations. Employee Relations, Vol.29, No.6, pp.677-695. [13]. Ojo, O. (2003). Fundamentals of Research Methods, Lagos: Standard Publications. [14]. Ouchi, W. G. (1981). Theory Z, Reading. MA: Addison-Wesley. [15]. O’Reilly, C. (1989). Corporations, Culture and Commitment: Motivation and Social Control in Organizations. California Management Review, Summer.
Sapna Vyas "Organization Culture and Employee’s Productivity “A Study of Pharmaceutical Industry” " International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.15-20 2017
Parallel-prefix adders (also known as carry tree adders) are known to have the best performance in VLSI Design. In this paper we present a faster adder for high speed computation with reduced power consumption. Kogge Stone Adder is a parallel prefix form of carry look Ahead adder & is widely used adder in the industries of the present day. Since the adder generates the carry signal in log2N time, it is considered to be the fastest adder design possible. For the reduction of power dissipation reversible logic gates are used and hence this paper Kogge Stone Adder is implemented with reversible logic. All the structures discussed in paper have been designed in structural description using Verilog HDL and simulated in Xilinx ISE 14.7.
- Page(s): 21-25
- Date of Publication: 15 January 2017
- Ashwini B NAssistant Professor, Department of TCE, GSSSIETW, Mysuru, India.
- Dr. U B Mahadevaswamy Associate Professor, Department of ECE, SJCE, Mysuru, India.
- Abhilash GAssistant Professor, Department of ECE, ATMECE, Mysuru, India.
References
[1]. David H.K.Hoe, Chris Martinez and Sri Jyothsna Vundavalli, ”, Design and Characterization of Parallel Prefix Adders using FPGAs”, 2011 IEEE 43rd Southeastern Symposium in pp. 168-172, 2011. [2]. P. M. Kogge and H. S. Stone, “A Parallel Algorithm for the Efficient Solution of a General Class of Recurrence Equations,” IEEE Trans. On Computers, Vol. C-22, No 8, August 1973 [3]. N. H. E. Weste and D. Harris, CMOS VLSI Design, 4th edition, Pearson–Addison-Wesley, 2011. [4]. Sudheer Kumar Yezerla and B Rajendra Naik, “Design and Estimation of delay, power and area for Parallel prefix adders” Proceedings of 2014 RAECS UIET Panjab University Chandigarh, 06 - 08 March, IEEE. [5]. Fredkin, E., & Toffoli, T. (2002),Conservative logic,(pp. 47-81). Springer London. [6]. Thapliyal, Himanshu, and M. B. Srinivas. "A new reversible TSG gate and its application for designing efficient adder circuits." arXiv preprint cs/0603091(2006). [7]. Toffoli, T. (1980),Reversible computing(pp. 632-644). Springer Berlin Heidelberg [8]. Peres, A. (1985). Reversible logic and quantum computers. Physical review A, 32(6), 3266. [9]. Landauer, Rold. "Irreversibility and heat generation in the computing process." IBM Journal of Research and Development 44.1 (2000): 261-269.
Ashwini B N, Dr. U B Mahadevaswamy, Abhilash G "Reversible Logic based Kogge-Stone Adder" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.21-25 2017
The purpose of the this review summarizes the recent published on the heat transfer and pressure drop in shell and helical coiled tube heat exchanger using nanoflids as working fluid. The naofluid is the colloidal suspension of nano sized particles like metal and metal oxides in some base fluid as convectional fluid like water, ethylene glycol. The forced convection heat transfer nanofluid is investigated by more researches. This paper reviews the paper published on experimental studies of forced convection heat transfer and pressure drop of nanofluids. Most of the researchers have identify a little rise in pressure drop with use of nanofluids in helical coiled tube. In order to the nanofluid are able to enhancement of heat transfer at low particle concentration. A large difference in Nusselt number was observed for more studies under laminar and turbulent flow region.
- Page(s): 26-34
- Date of Publication: 15 January 2017
- P.C. Mukesh KumarFaculty of Mechanical Engineering, University College of Engineering Dindigul- 624 622, Tamilnadu, India. .
- K.Palanisamy Center for thermal and energy research, Faculty of Mechanical Engineering, M. Kumarasamy College of Engineering, Karur-639 113, Tamilnadu, India .
Reference
[1]. C. H. Li, G. P. Peterson, Experimental investigation of temperature and volume fraction variation on the effective thermal conductivity of nanoparticle suspensions (nanofluids), J. Applied Physics., 99 : 084314 (2006) 1-8. [2]. S. M. S. Murshed, K. C. Leong, C. Yang, Enhanced thermal conductivity of TiO2 – water based nanofluid, Int. Journal of Thermal Sci., 04 (2005) 367 -373. [3]. H. E. Patel, S. K. Das, T. Sundararagan, A. S. Nair, B. Geoge, T. Pradeep, Thermal conductivities of naked and monolayer protected metal nanoparticle based nanofluids : Manifestation of anomalous enhancement and chemical effects, Applied physics Letters., 83 (2003) 2931-2933. [4]. S. U. S. Choi, Z. G. Zhang, W. Yu, F. E. Lockwood, E. A. Grulke, Anomalous thermal conductivity enhancement in nano-tube suspensions, Applied physics Letters., 79 (2001) 2252-2254. [5]. X. Wang, X. Xu, S. U. S. Choi, Thermal conductivity of nanoparticle –fluid mixture, Journal of Thermophysics and Heat Transfer., 13 (1999) 474-480. [6]. J. M. Li, Z. L. Li, B. X. Wang, Experimental viscosity measurement for copper oxide nanoparticle suspensions, Tsinghua Sci. Tech., 7 (2002) 198 – 201. [7]. Y. He, Y. Jin, H. Chen, Y. Ding, D. Cang, H. Lu, Heat transfer and flow behavior of aqueous suspensions of TiO2 nanoparticle (nanofluids) flowing upward through a vertical pipe, Int. Journal of Heat and Mass Transfer,.50 (2007) 2272-2281. [8]. Y. Ding, H. Alias, D. Wen, R. A. Williams, Heat transfer of aqueous suspensions of carbon nanotubes (CNT nanofluid), Int. Journal of Heat and Mass Transfer,.49 (2005) 240 - 250. [9]. P. C. Mukesh kumar, J. Kumar, S. Sendhilnathan, R. Tamilarasan, S. Suresh, Heat transfer and pressure drop Al2O3 nanofluid as coolant in shell and helically coiled tube heat exchanger, Bulgarian Chemical Comm., 46 (4) (2014) 743-749. [10]. T.Srinivas, A.Venu Vindo, Heat transfer enchancement using CuO/water nanofluid in shell and helical coil heat exchanger,International conference on computational heat and mass transfer.,127 (2015) 1271 – 1277. [11]. M. A. Khairul, R. Saidu, M. M. Rahman, M. A. Alim, A. Hossain, Z. Abdin, Heat transfer thermodynamic analyses of helically coiled heat exchanger using different types of nanofluids, Int. Journal of Heat and Mass Transfer,.67 (2013) 398-403. [12]. M. Kahani, S.Zeinali Heris, M.Mousavi, Experimental investigation of TiO2 / water nanofluid laminar forced convective heat transfer through helical coliled tube, Heat and Mass Transfer,.50 (2014) 1563-1573. [13]. P. C. Mukesh kumar, J. Kumar, S. Suresh, K. Praveen babu, Experimental study on parallel and counter flow configuration of a shell and helically coiled tube heat exchnanger using Al2O3 / water nanoflid, J. Mater. Environ.Sci., 3 (4) (2012) 766-755. [14]. P. C. Mukesh kumar, J. Kumar, S. Suresh, Experimental investigation on convective heat transfer and friction factor in a helically coiled with Al2O3 / water nanoflid, J. Mechanical Sci. and Tech., 27 (1) (2013) 239-245. [15]. P. C. Mukesh kumar, J. Kumar, R. Tamilarasan, S. Sendhilnathan, S. Suresh, Heat transfer enchancement and pressure drop analysis in helically coiled tube using Al2O3 / water nanoflid, J. Mechanical Sci. and Tech., 28 (5) (2014) 1841-1847. [16]. P. C. Mukesh kumar, K.Palanisamy, J. Kumar, R. Tamilarasan, S. Sendhilnathan, CFD analysis of heat transfer and pressure drop in helically coiled heat exchangers using Al2O3 / water nanoflid, J. Mechanical Sci. and Tech., 29 (2) (2015) 1-9. [17]. S. M. Hashemi, M. A. Akhavan behabadi, An empirical study on heat transfer and pressure drop characteristics of CuO – base oil nanofluid flowing in a horizontal helically coiled tube under constant heat flux, Int. Journal Heat and Mass Transfer,.39 (2012) 144 -151 [18]. Mild Raksha, Farzan Akbaridoust, Abbas abbassi, Saffar-avval majid, Experimental and numerical investigation of turbulent forced convection flow of nano-fluid in helical coiled tubes at constant surface temperature, Powder Technology., 283 (2015) 178-189. [19]. S. Suresh, M.Chandrasekar, S.Chandra Sekhar, Experimental studies on heat transfer and friction factor characteristics of CuO / water nanofluid under flow in a helically dimpled tube, Exp.Thermal and Fluid Sci., 35 (2011) 542-549. [20]. M. Kahani, S. Zeinali Heris, S. M. Mousavi, Comparative study between metal oxide nanopowders on thermal characteristics of nanofluid flow through helical coils, Powder Technology., 246 (2013) 82-92. [21]. Gabriela Huminic, Angel Huminic, Heat transfer and entropy generation analyses of nanofluids in helically coiled tube – in-tube heat exchangrs, Int. Commn. In Heat and Mass Trans., 71 (2016) 118-125. [22]. Siamak mirfendereski, Abbas abbassi, Majid Saffar-avval, Experimental and numerical investigation of nanofluid heat transfer in helically coiled tubes at constant wall heat flux , Advanced Powder Technology., 26 (2015) 1483-1494. [23]. M. A. Akhavan-Behabdi, M. Fakoor Pakdaman, M. Ghazvini, Experimental investigation on the convective heat transfer of nanofluid flow inside vertical helically coiled tubes under uniform wall temperature condition, Int. Commn. In Heat and Mass Trans., 39 (2012) 556-564. [24]. M. Fakoor prkdaman, M. A. Akhavan-Behabdi, P. Razi, An empirical study on the pressure drop characteristics of nanofluid flow inside helically coiled tubes, Int. Journal of Thermal Sci., 65 (2013) 206-213. [25]. Wale I. A. Aly, Numerical study on turbulent heat transfer and pressure drop of nanofluid in coiled tube-in-tube heat exchangers, Energy conversion and Mgt., 79 (2014) 304-316. [26]. H. A. Mohammed , K. Narrein, Thermal and hydraulic characteristics of nanofluid flow in helically coiled tube heat exchanger, Int. Commn. In Heat and Mass Trans., 39 (2012) 1375-1383. [27]. Zan Wu, Lei Wang, Bengt Sunden, Pressure drop and convective heat transfer of water and nanofluids in a double pipe helical heat exchanger, Applied Thermal Eng., 60 (2013) 266 – 274. [28]. Gabriela Huminic, Angle Huminic, Heat transfer characteristics in double tube helical heat exchangers using nanofluids, Int. Journal of Heat and Mass Trans., 54 (2011) 4280- 4287. [29]. Mostafa Kahani, Saeed Zeinali Heris, Seyed Mahmoud Mousavi, Multiwalled carbon nanotube / water nanofluid or Helical coiling Technique, Which of Them is more Effective?, Ind. Chem, Res. 52 (2013) 13183 – 13191. [30]. M. Fakoor Pakdaman, M. A. Akhavan Behabadi, P. Razi, An experimental investigation on thermo physical properties and overall performance of MWCNT / heat transfer oil nanofluid flow inside vertical helically coiled tubes, Exp. Thermal and Fluid Sci., 40 (2012) 103 – 111. [31]. Zan Wu, Lei Wang, Bengt Sunden, Lars Wadso, Aqueous carbon nanotube nanofluid and their thermal performance in helical heat exchanger, Applied Thermal Eng., 96 (2016) 364 – 371. [32]. K. Narrein, H. A. Mohammed, Influence of nanofluid and rotation on helically coiled tube heat exchanger performance, Thermochimica Acta., 564 (2013) 13-23. [33]. Frazan Akbaridoust, Milad Rakhsha, Abbas Abbassi, Majid Saffar avval, Experimental and numerical investigation of nanofluid heat transfer in helically coiled tubes at constant wall temperature using dispersion model, Int. Journal of Heat and Mass Transf., 58 (2013) 480 – 491. [34]. N. Kannadasan, K. Ramanathan, S. Suresh, Comparison of heat transfer and pressure drop in horizontal and vertical helically coiled heat exchanger with CuO / water based nano fluids, Exp. Thermal and Fluid Sci., 42 (2012) 64 -70. [35]. H. R. Allahyar, F. Hormozi, B. ZareNezhad, Experimental investigation on the thermal performance of a coiled heat exchanger using a new hybrid nanofluid, Exp. Thermal and Fluid Sci., 76 (2016) 324 -329. [36]. M. Kahani, S. Zeinali Heris, S. M. Mousavi, Effect of curvature ratio and coil pitch spacing on heat transfer performance of Al2O3/water nanofluid laminar flow through helical coils, Journal of dispersion Science and Technology., 34 (2013) 1704 -1712. [37]. Simak Mirfendereski, Abbass Abbassi, Majid Saffar-avval, Experimental and numerical investigation of nanofluid heat transfer in helically coiled tubes at constant heat flux, Advanced Powder Technology., 26 (2015) 1483-1494. [38]. M. Khoshvaght – Aliabadi, S. Pazdar, O. Sartipzadeh, Experimental investigation of water based nanofluid containing copper nanoparticles across helical microtubes, Int. Commn. In Heat and Mass Trans., 70 (2016) 84 - 92. [39]. H. Bahremand, A. Abbassi, M. Saffar-Avval, Experimental and numerical investigation of turbulent nanofluid flow in helically coiled tubes under constant wall heat flux using Eulerian- Lagrangian approach, Powder Technology., 269 (2015) 93 – 100. [40]. S. Bahrehmand, A. Abbassi, Heat transfer and performance analysis of nanofluid flow in helically coiled tube heat exchanger, Chemical Engineering Research and Design., 109 (2016) 628 – 637. [41]. H. A. Mohammed, K. Narrein, Thermal and hydraulic characteristics of nanofluid flow in helically coiled tube heat exchanger., Int. Commn. In Heat and Mass Trans., 39 (2012) 1375 - 83.
P.C. Mukesh Kumar, K.Palanisamy "A Review of Forced Convection Heat Transfer and Pressure Drop in Shell and Helical Coiled Tube Heat Exchanger of Nanofluids" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.26-34 2017
A GaN HEMT transistor operating with drain voltage of 28V and a gate supply voltage of -2.5V with a drain current of 125mA is used in the design of Class AB Power amplifier which is used for RADAR applications working in C band. A new type of stabilization of the power amplifier is proposed and implemented by using a parallel resonance at the input and series at the output side of the amplifier providing an output power of 36.5dBm with PAE of 54% and the second and third harmonica suppressed to - 12dBm and -25dBm respectively.
- Page(s): 35-37
- Date of Publication: 15 January 2017
- K Karson JoshuaStudent, Department of Telecommunication Engineering, R V College of Engineering, Bangalore, India.
- Shanthi. PAssistant Professor, Department of Telecommunication Engineering, R V College of Engineering, Bangalore, India.
- Swaraj Varshney CScientist 'D', RADL, LRDE, DRDO Bangalore, India.
References
[1]. Firas Mohammed Ali Al-Raie," A Systematic Technique for Designing Wideband RF Power Amplifiers", International Rf And Microwave Conference Proceedings, September 12 - 14, 2006, [2]. G. Monprasert, P. Suebsombut, T. Pongthavornkamol, S. Chalermwisutkul, "2.45 GHz GaN HEMT Class-AB RF Power Amplifier Design for Wireless Communication Systems". [3]. Seok Joo Doo, Patrick Roblin, Venkatesh Balasubramanian, Richard Taylor, Krishnanshu Dandu, Jeffrey Strahler, Gregg H. Jessen, and Jean-Pierre Teyssier, "Pulsed Active Load–Pull Measurements for the Design of High-Efficiency Class-B RF Power Amplifiers With GaN HEMTs",IEEE 2009. [4]. Jiang Cao, Rajinder Singh, Bo Liang, Xlnwei Wang, Khoo Ee Sze, Hiroshl Nakamura, "A Two Stages MMIC CDMA Power Amplifier using Harmonic Load Pull Simulation Technique", IEEE 1999. [5]. Zhebin Wang and Chan-Wang Park, "Novel Wideband GaN HEMT Power Amplifier Using Microstrip Radial Stub to Suppress Harmonics",IEEE 2012. [6]. Mury Thian, Vincent Fusco, Peter Gardner, "2.4 GHz High-Efficiency Power-Combining Class-E Amplifier with Transmission-Line Harmonic Traps", IEICE 2010. [7]. Charinrat Wongtanarak and Suramate Chalermwisutkul, "Design and Implementation of a 1 GHz GaN HEMT Class-F Power Amplifier for Transistor Model Evaluation", ECTI 2011. [8]. Hosein Taghavi , Mohammadhassan Akbarpour , Saeed Rezaei , and Fadhel M. Ghannouchi, "Broadband High Efficiency GaN RF Power Amplifier for Multi-Band Applications", IEEE 2014. [9]. SadiaNawaz, Haleema Mehmood, "Stabilization of Microwave Amplifiers",
K Karson Joshua, Shanthi. P, Swaraj Varshney C "Design of Class AB Power Amplifier for RADAR Applications" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.35-37 2017
Digital watermarking provides a means of embedding a message in a piece of digital data without destroying its value. This paper focuses on digital watermarking for images and in particular invisible watermarking. In this paper three different algorithms for digital image watermarking have been proposed. The first method focuses on spatial domain watermarking using bit-shuffling process based on chaotic sequence. In this method first the watermark is encrypted using the xor operation between the watermark and the chaotic sequence and then embedded into the host image using bit-shuffling process with the help of chaotic sequence. In the second method, the encryption process is the same as previous method. The watermarking carried out in frequency domain by taking 2-D Discrete Cosine Transform of both the watermark and the host image and then we perform linear combination of both the coefficients to obtain the watermarked image. In the third method, we proposed a new encryption algorithm based on pixel-shuffling method.
- Page(s): 38-42
- Date of Publication: 15 January 2017
- Anjana JoshiDepartment of Electronics& Instrumentation Engineering, Dayananda Sagar College of Engineering, Bangalore., India
- Silpa Ajith KumarDepartment of Electronics& Instrumentation Engineering, Dayananda Sagar College of Engineering, Bangalore., India
- Nikhila.SDepartment of Electronics& Instrumentation Engineering, Dayananda Sagar College of Engineering, Bangalore., India
References
[1]. Jian Liu, Xiangjian He; “A Review Study on Digital Watermarking”, Information and Communication Technologies, 2005. ICICT 2005. First International Conference, Page(s):337 – 341, 27-28 Aug. 2005. [2]. Michael Arnold, Martin Schmucker, Stephen D.Wolthusen, “Techniques and Applications of Digital Watermarking and Content Protection”, 1st edition July 2003, Artech House. [3]. L. Robert,T.Shanmugapriya, Research Scholar, BharathiarUniversity, A Study on Digital Watermarking Techniques ,International Journal of Recent Trends in Engineering, Vol. 1, No. 2, May 2009. [4]. Juergen Seitz, University of Cooperative Education Heidenheim, Germany, “Digital Watermarking for Digital Media”, 1st edition May 2005, Information Science Publishing. [5]. G.Voyatzis and I.Pitas, Chaotic mixing of digital images and applications to watermarking, ECMAST‟96, vol.2, pp. 687-694, 1996 [6]. Swanson, M., Kobayashi, M., & Tewfik, A. (1998, June). Multimedia data embedding and watermarking technologies. IEEE Proceedings, 86(6, 1064-1087 [7]. W. N. Lie, and L. C. Chang, ”Spatial -Domain Image Watermarking By Data Embedding At Adaptive Bit Position,” IPPR Conference on Computer Vision, Graphics and Image processing, pp. 16-21, 1999 . [8]. R. G. van Schyndel, A. Z Tirkel, and C. E Osborne, “A digital watermark“, in Proceedings, IEEE International Conference on Image Processing, vol. 11, pp. 86-90,1994. [9]. M. Barni, F. Bartolini, V. Cappellini and A. Piva, “A DCT-Domain system for robust image watermarking,” Signal Processing, vol. 66, pp. 357-372, 1998.
Anjana Joshi, Silpa Ajith Kumar, Nikhila.S "Performance Analysis of Digital Water Marking Techniques" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.38-42 2017
Data mining plays an efficient role in prediction of diseases in health care industry. Diabetes is one of the major global health problems. According to WHO 2014 report, around 422 million people worldwide are suffering from diabetes. Diabetes is a metabolic disease where the improper management of blood glucose levels led to risk of many diseases like heart attack, kidney disease, eye etc. Many algorithms are developed for prediction of diabetes and accuracy estimation but there is no such algorithm which will provide severity in terms of ratio interpreted as impact of diabetes on different organs of human body. This paper gives detailed review of existing data mining methods used for prediction of diabetes. It also gives future direction for severity estimation of diabetes.
- Page(s): 43-46
- Date of Publication: 15 January 2017
- Vrushali BalpandeM. Tech., Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India.
- Rakhi Wajgi Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India.
References
[1]. GyorgyJ.Simon,Pedro J.Caraballo,Terry M. Therneau,Steven S. Cha, M. Regina Castro and Peter W.Li “Extending Association Rule Summarization Techniques to Assess Risk Of Diabetes Mellitus,” IEEE Transanctions on Knowledge and Data Engineering ,vol 27,No.1,January 2015 [2]. Dr.Zuber khan, shaifali singh and Krati Sexena,” Diagnosis of Diabetes Mellitus using K- Nearest Neighbor Algorithm,” in proceeding of International Journal of Computer Science Trends and Technology, vol.2 , July-Aug 2014 [3]. Mukesh kumari and Dr. Rajan Vohra,“Prediction of Diabetes Using Bayesian Network,”in proceeding of International Journal of Computer Science and Information Technologies, vol. 5 , 2014 [4]. Jianchao Han, Juan C. Rodriguze and Mohsen Beheshti , “Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner,”in proceeding of Second International Conference on Future Generation Communication and Networking, vol.2,2008 [5]. Wang ZuoCheng and XUE Li Xia ,“A Fast Algorithm for Mining Association Rules in Image,” in proceeding of International Conference on Data Engineering, vol.5, 2008 [6]. Dr. Pramanand Perumal and Sankaranarayanan, “Diabetic prognosis through Data Mining Methods and Techniques,” in proceeding of International Conference on Intelligent Computing Applications, vol. 2, 2014 [7]. Satyanarayana Gandi and Amarendra Kothalanka,“An Efficient Expert System For Diabetes By Naïve Bayesian Classifier,” in proceeding of International Journal of Engineering Trends and Technology ,vol. 4 ,Issue 10 , Oct 2013 [8]. Ramkrishnan Shrikant and Rakesh Agrawal,“Fast Algorithms for mining association rule,” in proceeding of IEEE International Conference on Data Engineering,vol.16,2007 [9]. Dilip Kumar Choubey and Sanchita Paul,”GA_MLP NN: A Hybrid Intelligent System for Diabetes Disease Diagnosis”,in proceedings of I.J.Intelligent System and Applications, vol.1,pp.49-59,2016 [10]. Alan J. Garber,MD and Martin J.Abrahamson, Case study on ”AACE/ACE Comprehensive Diabetes Management Algorithm” [11]. H. S. Kim, A. M. Shin, M. K. Kim, and N. Kim, “Comorbidity study on type 2 diabetes mellitus using data mining,” in proceedings of Korean J. Intern. Med., vol. 27, no. 2, pp. 197–202, Jun. 2012 [12]. Kawita Rawat and Kawita Bhurse” A Comparative Approach for Pima Indians Diabetes Diagnosis using LDA-Support Vector Machine and Feed Forward Neural Network,”in proceedings of International Journal of Advanced Research in Computer Science and Software Engineering, vol.4, Nov. 2014 [13]. G. S Collins, S. Mallett, O. Omar, and L.-M. Yu, “Developing risk prediction models for type 2 diabetes: A systematic review of methodology and reporting,”in proceedings of BMC Med., 9:103,Sept. 2011 [14]. R. Agrawal and R. Srikant, “Fast algorithms for mining association rules,” in Proceedings of 20th VLDB, Santiago, Chile, 1994 [15]. M. A. Hasan, “Summarization in pattern mining,” in proceedings of Encyclopedia of Data Warehousing and Mining, 2nd ed. Hershey, PA, USA:Information Science Reference, 2008 [16]. R.P.Bakshi and S.Agrawal,”Modeling Risk of Prediction of Diabetes - a preventive Measure,” in proceedings of BMC Med.,2012. [17]. S.Sapna and Dr.A.Tamilarasi,”Implementation of Genetic algorithm in Predicting Diabetes” in Proceedings of International journal of Computer science ,vol.9,Issue.1,N0.3,Jan-2012. [18]. S. Nagarajan and R.M.Chandrasekaran,”Data Mining Techniques for Performance Evaluation of Diagnosis in Gestational Diabetes” in proceedings of International Journal of Current Research and academic Review, vol. 2,No. 10,pp. 91-98. [19]. V.Vijayan and A.Ravikumar,” Study of data mining algorithms for Prediction and diagnosis of diabetes mellitus,” in proceedings of International Journal of Computer Application, vol. 9,No. 17, June 2014. [20]. J.Tuomilehto, “Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impared glucose tolerance”,in proceedings of International Journal of Medical Research, vol. 344,no. 18,pp. 1343-1350, 2001. [21]. K.Rajesh and V.Sangeetha,”Application of Data Mining Methods and Techniques for Diabetes Diagnosis,” in proceedings of International journal of Engineering and Innovative Technology, vol.2, Issue 3, September 2012. [22]. B.L. Shivkumar and S Alby,”A Survey on Data Mining Technologies for Prediction and Diagnosis of Diabetes,” in proceedings of International Conference on Intelligent Computing Application, 2014. [23]. Carlos Fernandez_Llatas and Antonio Martinez_Millanu, “Diabetes care related process modelling using Process Mining Techniques Lessons Learned in the Application of Interactive Pattern Recognition :Coping with the Spaghetii Effect, 2015.
Vrushali Balpande, Rakhi Wajgi "Review on Prediction of Diabetes using Data Mining Technique" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.43-46 2017
In the household consumption each member of the family play certain role, which impact the final buying behavior of the family for taking decisions related to family consumption. In the family structure each member play different role which impacts the decision of the family for consumption: like some will act as a Influencer, some will act as a gatekeeper, some will act decider, some will act as end user depends upon his role in the consumption process or in the family. I have chosen Detergent powder and cake for my study, because this is one of the most commonly used item listed in the category of FMCG products which we all are using in our day to day life. My intention of writing this paper is to know the most dominating member in the family which influences the buying behavior with reference to detergent powder and cake in the rural areas in the current scenario.
- Page(s): 47-50
- Date of Publication: 15 January 2017
- Arun Kant PainoliDeputy Director, Doon Institute of Management and Research, Rishikesh (Uttarakhand) – India Research Scholar, Bhagwant University, Ajmer, Rajasthan
- Dr. Y.P.SinghResearch Scholar, Bhagwant University, Ajmer, Rajasthan
References
[1]. Surbhi Koul, Piyush Kumar Sinaha and Hari Govind Mishra (2014), Decision Making Process for Bottom-of-the-Pyramid Consumers: A Case of FMCG product, NMIMS Management Review Vol –XXIV , pp 89-100 [2]. Neetu Jain and Neha Mishra (2016) Measuring the Effect Of Pester Power on Family Buying Decision in FMCG Products Using Factor Analysis, Imperial Journal of Multidisciplinary Research, Vol-2, Issue-4, 192-199 [3]. Sunita Kumar (2013) Children Influence in the process of family purchase decisions for high, low and child centric products, International Refereed Research Journal, Vol.–IV, Issue 3(1), PP 34-44 [4]. A. Hemalatha,Alsamma Antony and G.Sivasesan ( 2014) A study of brand loyalty on toilet soap on buying behavior of female consumers in Tiruchirappalli, International journal of Marketing and Human Resource Management, Volume 5, Issue 5, September , pp. 11-21 [5]. S. Saranya and G. Surya (2016), The role of FMCG Product among women consumers with special reference to PollachiTalu, International jouranal of marketing management, vol 3, issue 3 [6]. Belch, G.E., Belch, M.A and Ceresino G. (1985), Parental and teenage child influences in family decision making, Journal of Business Research, Vol. 13 No. 2, pp. 163-76 [7]. 7 Hamilton, K. (2009), “Consumer decision making in low income families: the case of conflict avoidance”, Journal of Consumer Behavior, Vol. 8, pp. 252-67. [8]. Sheth, J.N. (1974), A theory of family buying decisions “in Sheth, J.N. (Ed.), Models of Buyer Behavior: Conceptual, Quantitative and Empirical “Harper & Row New York, NY pp. 17-33, Harper & Row Series in Marketing Management. [9]. Ekstrom, K. (1995), “Children's influence in family decision making a study of yielding consumer learning and consumer socialization “doctoral dissertation, Goteborg University Gotebor [10]. Hawkins, D.I, Best, R., Coney (2004), “Consumer behavior: Building marketing Strategy”, 9 edition, Boston: McGraw Hill [11]. Lee CK(1994): “Influence of Children in Family Purchase Decisions. The Development and Use of an Observational Scale as a Method of Measuring Influence “University of Auckland [12]. Williams, L.A and Burns, A.C. (2000), “Exploring the dimensionality of children's direct influence attempts”, Advances in Consumer Research, Vol. 27, pp 64-71 [13]. Consumer Behavior by Leon.G.Schiffman, Rajnish Tuli and Nidhi Verma Srivastava, 2nd edition, Oxford Publication, 2010. [14]. Rural Marketing by Pradeep Kashyap, 2nd edition, Pearson Publication, 2010 .
Arun Kant Painoli, Dr. Y.P.Singh "To Understand the Dynamic of Husband Wife as Well as Other Family Members in the Family Consumption Decision Making: An Empirical Study of Detergent Powder and Cake in Rural Areas of Uttarakhand State (India)" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.47-50 2017
The Life of people is becoming complicated every day due to explosion of population leading to crises of land, employment, agricultural proceeds, price hikes etc. This is followed by crunch of resources on the one hand and drastic fall in per capita income of country man also educational improvement is followed by its fruitlessness except intellectual development, under this situation countryman is facing stress on mind. Also the insecurity of careers and mental tensions are growing exponentially in the life of people. This may take the youth either to the direction of becoming criminal or to direction of surrendering before the uncontrollable pressure of helplessness. Both the paths give rise to further insecurity and mental tensions. The ultimate part which is attacked is mental health of person due to overstressed conditions. It is therefore recovery of mental health has become an important challenging concern of the doctors. The human brain produces electrical signals which prove vital in understanding the degree of abnormality that may, in many cases, result in a person behaving unusually. The information contained in these signals is recorded via an EEG machine, which is able to extract even the most subtle details from the electrical waves that the brain signals generate usually, the signals from the aforementioned device are interpreted by the specialists who specialize in this very thing but heir defection is susceptible to errors which prove fatal in some cases. This research presents an autonomous system, capable of detecting the occurrence of an brain disorder, without the help of an expert.
- Page(s): 51-55
- Date of Publication: 15 January 2017
- Prof. Surendra BohraProfessor, ECE Department, SLBS Engg. College, Jodhpur, India
References
[1]. M. Kalaivani, V. Kalaivani and V. Anusuya Devi “Analysis of EEG Signal for the Detection of Brain Abnormalities” International Journal of Computer Applications (IJCA) ISSN: (0975–8887) International Conference on Simulations in Computing Nexus, ICSCN-2014, PP-1 to 6. [2]. Sasikumar Gurumurthy, Vudi Sai Mahit and Rittwika Ghosh “Analysis and simulation of brain signal data by EEG signal processing technique using MATLAB” International Journal of Engineering and Technology (IJET) ISSN : 0975-4024, Vol 5, No 3, Jun-Jul 2013, PP- 2771 to 2776. [3]. Krishnaveni Yendrapalli, S. S. Naga Pavan Kumar Tammana “The Brain Signal Detection for Controlling the Robot” International Journal of Scientific Engineering and Technology (IJSET) ISSN : 2277-1581, Volume No.3, Issue No.10, Oct-2014, pp : 1280-1283. [4]. Abdul Kadar Muhammad Masum, Md. Faisal Faruque, Mohammad Shahjalal and Md. Iqbal Hasan Sarker “Solving the Vehicle Routing Problem using Genetic Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), Vol. 2, No. 7, 2011, PP 126 to 131. [5]. Om Prakash Verma and Himanshu Gupta “Fuzzy Logic Based Water Bath Temperature Control System” International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), ISSN: 2277 128X, Volume 2, Issue 4, April 2012, PP 333 to 336. [6]. P.D. Khandait, Dr. N.G. Bawane, Dr. S.S. Limaye and S.P. Khandait “Efficient ECG Abnormalities Recognition Using Neuro-Fuzzy Approach” International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), ISSN: 2277 128X, Volume 2, Issue 4, April 2012, PP 402 to 407. [7]. Richa Garg and Saurabh Mittal “Optimization by Genetic Algorithm” International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE) ISSN: 2277 128X, Volume 4, Issue 4, April 2014 PP 587 to 589. [8]. Behrouz Minaei-Bidgoli and William F. Punch “Using Genetic Algorithms for Data Mining Optimization in an Educational Web-based System” Genetic Algorithms Research and Applications Group (GARAGe). [9]. Prof. Deepa. T. P., Prof. Vandana Reddy “EEG Based Drowsiness Detection Using Mobile Device for Intelligent Vehicular System” International Journal of Engineering Trends and Technology (IJETT), ISSN: 2231-5381 Volume 6 Number 1- Dec 2013 PP- 21 to 24. [10]. Mahalingam D, Rajkumar P, Banu Priya R and Sudha P “Real Time Monitoring For Drowsiness Detection Using EEG System” SSRG International Journal of Electronics and Communication Engineering (SSRG-IJECE), ISSN: 2348 – 8549, Volume 2 Issue 5 – May 2015, PP- 78 to 80.
Prof. Surendra Bohra "Feature-vector Based Intelligent System for EEG Analysis using ANN" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.51-55 2017
Pneumatic muscle driven by compressed air is becoming more and more important in modern industrial systems. Such muscles are used in robotic applications. The aim of this work centers on the dynamic simulation of air muscle. Pneumatic air muscle is made mainly of an inflatable and flexible membrane. In this project, we made a model of Pneumatic air muscle using inner silicon tube and braided sleeve made up of Polyethane terephthalate (PET). Sleeve supports the tube as the tube alone can’t bear the higher loads and without sleeve it would rupture due to high pressure. We did the dynamic simulation of PAM in ANSYS and we observed the analytical results and according to the obtained results, we decided the dimension and pressure limits. We also did the practical experiment of the manufactured muscle with a controlled air pressure and observed the actual results. In the end, we compared the analytical and actual results of the same.
- Page(s): 56-59
- Date of Publication: 15 January 2017
- Rushit A KansaraMechanical Engineering, Nirma University.
References
[1]. Abramowitz and I. A. Stegun. Handbook of Mathematical Functions, chapter17, pages 589–594. Dover Publications Inc., New York, 1965. [2]. Baldwin. Realizable models of muscle function. In Biomechanics, Proceedings of the First Rock Biomechanics Symposium, pages139148, New York, 1969. Plenum Press. [3]. P. Beomonte Zobel, T. Raparelli, G. Mattiazzo, S. Mauro, and M. Velardocchia. Force control with fuzzy logic for pneumatic rubber muscles. In Advanced Robotics Beyond 2000 [4]. The 29th International Symposium on Robotics, Birmingham, UK, 1998. dmg Business Media Ltd. [5]. W. J. Gu, Y. Li, B. G. He, "Research on the Strengthen of Silicone Rubber", Advanced Materials Research, Vol. 663, pp. 377-380, 2013.
Rushit A Kansara "Simulation and Analysis of Pneumatic Artificial Muscle" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.56-59 2017
India is home to four of the five cities in the world with the worst air pollution. With an annual average PM 2.5 level of 122 µg/m³, Delhi’s air is the worst among global megacities with dense populations, as IndiaSpend reported in October 2016 based on WHO data. WHO experts acknowledge India faces a "huge challenge". Common causes of air pollution include too many cars, especially diesel-fueled vehicles, the heating and cooling of big buildings, waste management, agriculture and the use of coal or diesel generators for power. In this paper we propose an idea to reduce the emission of hazardous exhausts from the vehicles and large factories, were we include a mechanism to absorb the out coming hazardous exhausts within the system such that these doesn’t enter into the earth’s environment. The resulting non-hazardous exhaust from our system can be intelligibly utilized to generate electricity for the self-consumption purpose.
- Page(s):60-63
- Date of Publication: 15 January 2017
- Anila V HDept. of Electronics and Communication N.S.S College of Engineering Palakkad, Kerala, India
- Akhila V H Dept. of Computer Science and Engineering Government Engineering College, Sreekrishnapuram Palakkad, Kerala, India
References
[1]. http://www.hindustantimes.com/india-news/india-s-air-quality-among-world-s-worst-over-diwali-weekend-report/story8NIJlXGlzSAusoHj867upL.html [2]. http://www.mapsofindia.com/my-india/india/what-kind-of-air-are-we-breathing-air-pollution-in-india [3]. http://www.earthday.org/2016/06/14/largest-increase-global-co2-emissions-energy-use-2015-came-india/ [4]. http://www.gracedavison.com/eusilica/Adsorbents/product/zeolite [5]. http://www.sigmaaldrich.com/chemistry/chemical-synthesis/learning-center/technical-bulletins/al-1430/molecular-sieves.html [6]. https://en.wikipedia.org/wiki/Thermoelectric_generator
Anila V H, Akhila V H "Air-O-G Energy from the Pollutant " International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 1A, pp.60-63 2017