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Volume 1 ~ Issue 6



Volume 1 ~ Issue 6
1.Full Citation
Manuscript Id :: 12099
Manuscript Type :: Research
Manuscript Title :: A Comparative Study on Production of Bio Gas Using Green And Dried Vegetable Wastes By Anaerobic Batch Digestion Process
Country :: Kolkata, India
Authors :: DR. Chanchal Mondal||Prof. G.K.Biswas
Pages No. :: 01-06
Paper Index :: :07.4721/016001006
Full PDF ::
This paper shows a comparative study on production of bio gas from green vegetables wastes and dried vegetable wastes at different temperatures and concentrations by using two identical anaerobic bio digesters. The productions of biogas yield and ultimate methane yield have been compared for both the cases and optimizations of concentrations have been presented.

Key words: anaerobic digestion, biogas, ultimate methane yield.
1. A Husain(1997) Mathematical , Models of kinetics of Anaerobic Digestion- A selected Review. Biomass and Bio Energy Vol.14 Nos 5/6, pp 561-571.
2. Nelly Noykova et.al(2002) quantitative Analyses of Anaerobic Waste water Treatment Processes: Identifiability and Parameter estimation. Biotechnology and Bioengineering, Vol. 78 No 1, April 5,2002
3. Chowdhury R.B.S and Fulford,D.J (1992) Batch and Semi continuous anaerobic digestion systems, Renewable Energy, 1992, 2(4/5),391.
4. Srivastava V.J., Biogasification kinetics of biomass/waste blends. In methane from community Wastes, ed. R. Isaacson. Elsevier science, New York,1991.
5. Chen, Y.R. and Hashimoto, A.G., Substrate utilization kinetic model for biological treatment processes., Biotechnology and Bioengineering, 1980,XXII,2081
6. Lawrence A.W. and McCarty P.L.(1969)., Kinetics of methane fermentation in anaerobic treatment., J. WPCF. 41, R3-R17.
7. Dinopoulo G. et. al. (1988)., Anaerobic acidogenesis of a complex waste water: Influence of operational parameters on reactor performance.,Biotechnol. Bioenergy. 31.,958-968.
8. Rebac et al.(1995). High rate anaerobic treatment of wastewater under psychrophilic conditions., J.Ferment. Bioengng 80, 499-506.
9. Lee D.D et. al.(1985)., Anaerobic Digestion of cellulosic wastes., Biotechnol . Bioenergy. Symp, 15,549-560.
10. Fukuzaki et. al.(1990):, kinetics of Methanogenic fermentation of acetate., Appl. Environ.Microbial., 56, 3158-3163.

2.Full Citation
Manuscript Id :: 13026
Manuscript Type :: Research
Country :: INDIA
Authors :: Anubha Chauhan
Pages No. :: 07-13
Paper Index :: :07.4721/016007013
Full PDF ::
For System on-chip (SOC) designs in current Deep Submicron (DSM) era, the performance factors such as propagation delay, power dissipation and crosstalk in RC modeled interconnects are the major design concerns. The crosstalk effect is a consequence of coupling and switching activities that is encountered when there is a transition in previous state of wire as well as when there are transitions in adjacent wires. Therefore, minimization or elimination of switching and coupling activities is crucial in enhancing the performance of SOC designs. This paper proposes encoding scheme to achieve overall reduction in transitions. The reduction in transition improves the performance in terms of reduced power dissipation, coupling activity and delay in on-chip buses.

[1] Duan, C., Calle, V.H.C., Khatri, S.P.: Efficient On-Chip Crosstalk Avoidance CODEC Design. IEEE Transactions on Very Large Scale Integration (VLSI) Systems 17(4), 551–560 (2009) ISSN: 1063-8210
[2] Khan, Z., Arslan, T., Erdogan, A.T.: A Low Power System on Chip Bus Encoding Scheme with Crosstalk Noise Reduction Capability. IEEE Proc. Computer & Digital Techniques (2005)
[3] Stan, M.R., Burleson, W.P.: Bus-invert coding for low power I/O. IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 49–58 (1995)
[4] Shin, Y., Chae, S., Choi, K.: Partial Bus-Invert Coding for Power Optimization of System Level Bus. In: Proceedings of the 1998 International Symposium on Low Power Electronics and Design, pp. 127–129 (1998)
[5] VHDL Reference Guide, Xilinx, Inc. (1999), (http://toolbox.xilinx.com/docsan/)
[6] Perry, D.L.: VHDL, Programming by example, 4th edn. McGraw-Hill, New York
[7] Mano, M., Kime, C.: Logic and Computer Design Fundamentals, 2nd edn. Prentice Hall, Upper Saddle River (2001)
[8] Aghaghiri, Y., Fallah, F., Pedram, M.: Transition reduction in memory buses using sector based encoding techniques. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 23(8), 1174–1184 (2004)
[9] Satyanarayana, N., Vinaya Babu, A., Mutyam, M.: Delay-efficient bus encoding techniques. Microprocessors & Microsystems 33(5-6), 365–373 (2009)
[10] Lin, T., Shang, T., Jou, J.: On-Chip Bus Encoding for Power Minimization under Delay Constraint. In: IEEE International Symposium on VLSI Design, Automation, and Test, VLSI-DAT (2007)

3.Full Citation
Manuscript Id :: 13034
Manuscript Type :: Research
Manuscript Title :: Sigfree-A Signature-Free Buffer Overflow Attack Blocker
Country :: Hyderabad, India
Authors :: Chinta.Srihari||Lalu Banothu
Pages No. :: 14-31
Paper Index :: :07.4721/016014031
Full PDF ::
This project propose SigFree, a real time, signature-free, out-of the-box, application layer blocker for preventing buffer overflow attacks, one of the most serious cyber security threats. Sigfree can filter out code-injection buffer overflow attack messages targeting at various Internet services such as web service. Motivated by the observation that buffer overflow attacks typically contain executables whereas legitimate client requests never contain executables in most Internet services, SigFree blocks attacks by detecting the presence of code. SigFree first blindly dissembles and extracts instruction sequences from a request. It then applies a novel technique called code abstraction, which uses data flow anomaly to prune useless instructions in an instruction sequence. Finally it compares the number of useful instructions to a threshold to determine if this instruction sequence contains code. SigFree is signature free, thus it can block new and unknown buffer overflow attacks; SigFree is also immunized from most attack-side code obfuscation methods. Since SigFree is transparent to the servers being protected, it is good for economical Internet wide deployment with very low deployment and maintenance cost. We implemented and tested SigFree; our experimental study showed that SigFree could block all types of code injection attack packets (above 250) tested in our experiments. Moreover, SigFree causes negligible throughput degradation to normal client requests.

Key words: Intrusion detection, buffer overflow attacks, code-injection attacks.

[1]. Buffer overrun in jpeg processing (gdi+) could allow code execution 833987
[2]. http://www.microsoft.com/technet/security/bulletin/ MS04-028.mspx
[3]. Fnord snort preprocessor. http://www.cansecwest.com/spp fnord.c.
[4]. Intel ia-32 architecture software developer's manual volume 1: Basic architecture.
[5]. Metasploit project. http://www.metasploit.com.
[6]. Security advisory: Acrobat and adobe reader plug-in buffer overflow.
[7]. http://www.adobe.com/support/techdocs/321644.html.
[8]. Stunnel – universal ssl wrapper. http://www.stunnel.org.
[9]. Symantec security response: backdoor.hesive.
[10]. http://securityresponse.symantec.com/avcenter/venc/data/backdoor.hesive.html

4.Full Citation
Manuscript Id :: 13031
Manuscript Type :: Research
Manuscript Title :: Efficient network in Heterogeneous Computing Environment using GridSim
Country :: Andhra Pradesh, India
Authors :: A.Revanth Kumar||V. Pradeep||V. Krishna Chaitanya||T. Vijaya Sudarsan Reddy
Pages No. :: 32-38
Paper Index :: 07.4721/016032038
Full PDF ::
The engine speed controller of a conventional diesel engine is called a Governor. In order to control engine speed, the governor Heterogeneous computing environment consist of grid computing, cloud computing, utility computing. Heterogeneous computing are growing as the future generation of parallel and distributed computing granting the aggregation of sources that are geographically distributed accrete different locations. Network performance play key role in Heterogeneous computing environment. The network performance must be taken into account while performing task such like as scheduling, monitoring of jobs. Network buffer management policies affect the network performance. If buffer size if large it leads poor latencies but also leading to a lot of packet droppings and low utilization of links. When trying keep a low buffer size. In this paper we use the Gridsim toolkit and we put in policies into toolkit. Simulation toolkit to carry out research object at providing quality of network performance in Heterogeneous computing environment.

Keywords: Buffer management, Grid resource, Gridsim tool, Grid user, Heterogeneous computing

[1] S.Floyd and V. Jacobson,"Random early detection gateways for congestion avoidance," Transactions on networking, 1(4):397-413, 1993.
[2] A. Sulistio, U. Cibej, S. Venugopal, B. Robic and R. Buyya,"A toolkit for modelling and simulating data grids: An extension to Gridsim," Concurrency and computation: practice and experience, accepted for publication on Dec.3, 2007.
[3] A. Sulistio, G. Poduval, R. Buyya and C.-K.Tham, "On incorporating differentiated levels of network service into Gridsim," Future generation computer systems, 23(4):606-615, May2007
[4] J. Aweya, M. Ouellette, D. Y. Montuno, and A. Chapman, "Enhancing TCP performance with a load-adaptive RED mechanis,".Intl. Journal of Network Management,11(1):31–50, 2001.
[5] B.gazi and Z.Ghassenlooy, "Dynamic buffer management using per queue thresholds,"research articles. Intl.Jounal communications and systems, 20(5):571-587,2007
[6] P venkata Krishna, M. Rajasekharbabu, V. Saritha, "Principles of Grid Computing concepts & Applications", 2010. Page 17, 230.
[7] I. Foster and C. Kesselman. The grid2,"blue print for new computing infrastructure.,"Morgan Kaufmann, 2nd edition 2003
[8] S. Floyd, R. Gummadi, and S. Shenker., "Adaptive RED: An algorithm for increasing the Robustness of RED's an active queue management," Technical report, AT & T center for internet research at ICSI, Aug2001
[9] A. Kumar, J. Kaur and H. Vin, " End to End Proportional Loss Differentiation," Technical report TR-01-33, University of Texas, USA 2001
[10] Anthony Sulistio and RajkumarBuyya, "a grid simulation infrastructure supporting Advance reservation," GRIDS Laboratory and NICTA Victoria Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia.

5.Full Citation
Manuscript Id :: 13048
Manuscript Type :: Research
Manuscript Title :: Modification to Ipv6 Neighbor Discovery and Mobile Node Operation
Country :: India
Authors :: Simanta Sarma||Binita Devi||Dr. Sarbananda Das
Pages No. :: 39-49
Paper Index :: :07.4721/016039049
Full PDF ::
In this paper we describe Modification to IPv6 Neighbor Discovery & Mobile Node Operation. Moreover we discuss Mobile IPv6 Messages and Related Data Structures and a lean and efficient IPv6 routing protocol for networks. Mobile nodes care-of address shortens the communicating path to be used. When routing packet directly to the mobile node, the correspondent node sets the destination address in the IPv6 header to the care-of address of the mobile node. The mobile node add a new IPv6 "home Address" destination option to carry its home address. In this case, the mobile node may not know the IPv6 address of its own home agent and even the home subnet prefixes may change over time. A mechanism, known as "dynamic home agent address discovery" allows a mobile node to dynamically discover the IPv6 address of home agent on its home link, even when the mobile node is away from home. We report on its Modified Prefix Information Option Format result. Moreover we discuss Formal Protocol Verification and operating over Mobile Node Operation. This paper we study in Comparison with Mobile IPv4 for Mobile IPv6.

Keywords –IPv6, IPv4, Cellular Phone network, ICMP, routing protocols, Mobile Node Operation, Protocol, node.

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6.Full Citation
Manuscript Id :: 12076
Manuscript Type :: Research
Manuscript Title :: A Theoretical Framework for Development of Decision Support System for Agriculture
Country :: INDIA
Authors :: Anurag Agrahari||Dr. ShashiKant Tripathi
Pages No. :: 50-55
Paper Index :: :07.4721/016050055
Full PDF ::
Agriculture is very complicated system inter- connected with wide range of factor that are affecting in the development of right kind of decision. Major premise of making right decisions is the ability to accurately assess crop growth and food supply, and an scientific decision- making process to provide appropriate strategies based on fact. The social-economical factor of problem is also a very vital role playing factor in the decision maker. The shift towards participatory research and development ap- proaches recognizes the benefits of fostering collaborative and mutually beneficial relationships between scientists and stakeholder. It helps in developing decision support system to make agriculture science more accessible for farmers and extension officers. This can be accomplished partly by using the decision support system (DSS) that provide accurate and detailed information about agriculture. In this paper, an Decision support system for agriculture frame was studied and developed to meet the increasing demands. This paper focus on the factor that involving in design of decision support system for agriculture.

Keywords –Agriculture, ICT, Database, GIS, DSS for agriculture.

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[3] Ridley, A., (2004): The role of applied science in helping farmers to make decisions about environmental sustainability. Australian Journal of Experimental Agriculture. 44, 959-968.
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