International Journal of Innovative Science and Modern Engineering(TM)
Exploring Innovation| ISSN:2319–6386(Online)| Reg. No.:68121/BPL/CE/12| Published by BEIESP| Impact Factor:3.86
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Volume-4 Issue-12: Published on July 15, 2017
Volume-4 Issue-12: Published on July 15, 2017

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Volume-4 Issue-12, July 2017, ISSN: 2319–6386 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.



S. R. Masilamani, Sudharsanamurthy.P

Paper Title:

Development of Noise Map for Porur Junction using GIS

Abstract: Noise pollution has become a major concern for communities living in the Chennai city. Noise pollution of urban areas is one of the serious factors that the local agencies and state authorities have to consider in decision making processes. In the reality, noise travels in all direction. Elevated noise levels due to vehicular traffic are cause of great concern in residential areas. Residents living in high rise buildings are also severely affected by traffic noise. It is therefore important to develop noise maps that can show influence of noise in all direction. The spatial analysis and geo statistical methods of GIS can play an important role to control noise pollution. GIS provide framework to integrate noise calculation models with spatial data that can be used for building noise maps. A case study was illustrated using the developed noise maps. This involved building simple, generation of observation point and noise calculation using observed noise data. In this study an attempt is made to monitor the noise pollution due to vehicular traffic at one of the major intersection Porur using digital sound level meter. The variation in the noise levels and traffic volume data in the peak hours are studied and presented as noise map for the selected location and the vulnerable zones are also identified in this study. This study also includes the effects and remedies which can be provided for minimizing the noise pollution.

Keywords: Noise pollution, GIS, Traffic noise maps, Traffic noise prediction, Spatial data.


1.    A.Hassan, J.B.Alam, (2013) Traffic Noise Levels at Different Locations in Dhaka City and Noise Modeling for Construction Equipment‘s, Dhaka, Bangladesh.
2.    Wazir Alam, (2011) GIS based Assessment of Noise Pollution in Guwahati City of Assam, India.

3.    F. Farca, A. Sivertun, (2012) Road Traffic Noise: GIS tools for Noise Mapping and a case study for Skane Region, Sweden.

4.    R.Kalaiselvi, A.Ramachandraiah, (2010) Environmental noise mapping study for heterogeneous traffic conditions, Chennai, India.

5.    Aaron Shiu-wai LUI, Chi-wing LAW, Maurice Kwok-leung YEUNG and Chee-kwan LEE, 2009, Road Traffic Noise Mapping in Hong Kong novel enhancement and development, Hong Kong.

6.    Little, T. S. (1962), The measurement of hearing loss and the alleviation of deafness technical aspects of sound. (Vol- III), Amsterdam, New York.

7.    R.K.Mishra, M. Parida, S. Rangnekar, 2010, ―Evaluation and analysis of traffic volume noise along has rapid transit system corridor‖ Int. Journal of Environ. Science Tech.

8.    Rao, P.R., Noise Pollution and Control, 1995, Encyclopedia of Environmental Pollution and Control, Vol.-2, Environ media Publications, India.

9.    Assessment and Control of Noise Pollution in Mining Industry, Proceedings of National Seminar held by Institution of Engineers at Madras, 1989.




Sharda Dubey, Sumit Gupta

Paper Title:

A Survey on Various IP Spoofing Attacks Techniques

Abstract:  Cyber crimes are becoming increasingly sophisticated and have more severe economic impacts. Each attacker goal can be divided into four main classes: Interruption, interception, modification and fabrication. Based on the attacker goals there are mainly two types of attack, active attack and passive attack. Active attacks are those in which attacker can modify information, interruption services and aim to gain unauthorized access to the network systems. During passive attack, the attacker simply monitors the transmission between the two parties and capture information that is send and receive. For this many traditional network devices such as Intrusion Detection System (IDS), firewalls and security scanners are available. However these techniques will not be able to detect the IP spoofing attacks. And also the spoofing attacks are man-in-the-middle attack. Hence there should be some mechanism by which such attacks can be detected. Through this paper we aim to make a comparative study on various mechanisms by which IP spoofing attack can be detected and specify the different available techniques to prevent the IP spoofing attack. First a penetration test method is presented to detect IP spoofing through the design flaws. Second paper, Defense against Spoofed IP Traffic Using Hop-Count Filtering, says how IP spoofing can be detected using hop count value. The third paper, A protection Method against Unauthorized Access and Address Spoofing for Open Network Access Systems, which proposed a system for IP spoofing detection has been studied. Finally a comparison of these three methods has been made. The forth paper, Enhanced ARP: Preventing ARP Poisoning-Based Man-in-the-Middle Attacks, defines how to enhance the ARP to detect and prevent man-in-the-middle attack. Through our study we concluded that the system proposed in A protection Method against Unauthorized Access and Address Spoofing for Open Network Access Systems is more efficient and less complex that the other two techniques.

 Destination IP address, Hop count filtering, IP spoofing, Man-in-the-middle attack, Penetration test, source IP address.


2.    Bechtsoudis and N. Sklavos,” Aiming at Higher Network Security Through Extensive Penetration Tests”, IEEE Latin America Transactions, Vol. 10,  No. 3, April 2012.

3.    Haining Wang, Cheng Jin, and Kang G. Shin,” Defense Against Spoofed IP Traffic Using Hop-Count Filtering”, IEEE/Acm Transactions On Networking, Vol. 15, No. 1,
February 2007.

4.    The Swiss Education and Research Network, Default TTL values in TCP/IP. 2002 [Online]. Available:

5.    B. Krishnamurthy and J. Wang, “On network-aware clustering of web clients,” in Proc. ACM SIGCOMM, 2000, pp. 97–110.

6.    Ishibashi, H., Yamai, N., Abe, K. and Matsuura, T., “A protection method against unauthorized access and address spoofing for opennetwork access systems”, IEEE Pacific Rim Conference on Communication and Signal Processing, 2001.

7.    Seung Yeob Nam, Dongwon Kim, and Jeongeun Kim,” Enhanced ARP: Preventing ARP Poisoning- Based

8.    Man-in-the-Middle Attacks”, IEEE Communications Letters, Vol. 14, No. 2, February 2010. Paper ID: 02013473318




Mohammed Sazid

Paper Title:

Application of Dynamic Numerical Code for Rock Blasting

Abstract:   The development of rock blasting technology is dynamic in nature and concepts of blast theory were customized from time to time based on field results. A number of physical models were tested and verified to comprehend effect of explosive types, blast geometry, rock types etc. Field experiments are time consuming as well as costlier too and many a times it is not possible to conduct field trials with varying parameters due to production pressure. Although, advance field instrumentation technology have been developed to monitor the rock blasting phenomenon but still there are more critical parameters which cannot be measure from field experimentation because of short duration of time. As a results, numerical modeling tool are now considered to be versatile and expedient to simulate the prototype more efficiently. This paper mainly focuses on the results of dynamic numerical modeling using Abaqus/explicit tool to understand rock mass respond and its breakage mechanism, energy utilization history etc. In this paper, a field condition was simulated for single and multiple hole blast to understand the wave propagation mechanism around the blast vis-à-vis effective energy utilization. 

  Rock blasting, Dynamic numerical modelling, Abaqus/explicit, Energy utilization


1.       Bawden, W.F., Katsabanis, P.D. and Yang, R. (1993). Blast damage study by measurement and numerical modeling of blast damage and vibration in the area adjacent to blast hole. Innovative mine design for 21st century, Proc. Int. Cong. on Mine Design, Kingston, Canada, 23-26.
2.       Grady, D. E. and Kipp, M.E. (1980). Continuum modeling of explosive fracture in oil shale. Int. J. Rock Mech. Min. Sci. & Geomech. 17, 147-157.

3.       Kainthola, A., Singh, P. K., Wasnik, A. B., Sazid, M., & Singh, T. N. (2012). Finite element analysis of road cut slopes using Hoek and Brown failure criterion. Int J Earth Sci Eng, 5(5), 1100-1109.

4.       Kuszmaul, J.S. (1987). A new computational model for fragmentation of rock under dynamic loading. 2nd Int. Sym. on Rock Fragmentation by Blasting, Keystone, Colorado. 412-423.

5.       Li, X.B., Chen, S.R. and Gu, D.S. (1994). Dynamic strength of rock under impulse loads with different stress waveforms and durations. J. Central South Institute of Mining & Metallurgy, 25(3).

6.       Malvern, L.E. (1969). Introduction to the mechanism of a continuous medium.  Prentice-Hall, Eaglewood Cliffs.

7.       Saharan M.R., Sazid M. and Singh T.N. (2017). Explosive Energy Utilization Enhancement with Air-Decking and Stemming Plug, ‘SPARSH’, Procedia Engineering, 191, 1211-1217.

8.       Sarkar, K., Sazid, M., Khandelwal, M., & Singh, T. N. (2009). Stability analysis of soil slope in Luhri area, Himachal Pradesh. Min Eng J, 10(6), 21-27.

9.       Sazid M. and Singh T.N. (2015). Numerical assessment of spacing–burden ratio to effective utilization of explosive energy, International Journal of Mining Science and Technology, 25(2), Pages 291-297,

10.    Sazid M., Saharan M.R. and Singh T.N. (2016). Enhancement of the Explosive Energy Utilization  with the Application of New Stemming Contrivance. International Journal of Innovative Science and Modern Engineering (IJISME), 4(2), 1-5. DOI: 10.13140/RG.2.1.2573.8327

11.    Sazid, M. (2017). Effect of Underground Blasting on Surface Slope Stability: A Numerical Approach. American Journal of Mining and Metallurgy, 4(1), 32-36. doi:10.12691/ajmm-4-1-2

12.    Sazid, M. and Singh, T.N. (2012). Two-dimensional dynamic finite element simulation of rock blasting. Arb. J. Geo. 6(10), 3703-3708. DOI: 10.1007/s12517-012-0632-4

13.    Sazid, M., Saharan, M. R., & Singh, T. N. (2011). Effective Explosive Energy Utilization for Engineering Blasting – Initial Results of an Inventive Stemming Plug. 12th ISRM Congress, Beijing, China.

14.    Sazid, M., Singh, T. N., & Saharan, M. R. (2012). Risk Analysis of Mine Dump Slope Stability- A Case Study. Mining Engineers' Journal. 12(7). 11-15.

15.    Sazid, M., Wasnik, A. B., Singh, P. K., Kainthola, A., & Singh, T. N. (2012). A Numerical Simulation of Influence of Rock Class on Blast Performance. Int J Earth Sci Eng, 5(5), 1189-1195.

16.    Singh, P.K., Wasnik, A.B., Kainthola, A. et al. (2013). The stability of road cut cliff face along SH-121: a case study. Natural Hazards, 68(2), 497–507. DOI: 10.1007/s11069-013-0627-9

17.    Singh, T. N., Sazid, M., & Saharan, M. R. (2012). A Study to Simulate Air Deck Crater Blast Formation - A Numerical Approach. International Society for Rock Mechanics.

18.    Taylor, L. M., Chen, Er-Ping and Kuszamaul, J.S. (1986). Micro-cracks induced damage accumulation in brittle rock under dynamic loading. Computer Mech. in Appl. Mech. and Engg. 55, 301-320.

19.    Throne, B.J., Hommert, P.J. and Brown, B. (1990). Experimental and computation investigation of the fundamental mechanisms of cratering. 3rd Int. Sym. on Rock Fragmentation by Blasting, Australia. 26-31.




Amninder Singh, Ashwani Kumar

Paper Title:

Effect of Machining Input Parameter on the Surface Roughness Quality

Abstract: Past few years an increasing interest in the surface finish produced in turning operation to obtain a product of high quality, the new cutting tool materials like high performance ceramics, coated carbides has been seen which have greatly improved machining of several engineering materials. The productivity during manufacturing can be enhanced by reducing machining cost and selecting appropriate machining parameters. The performance of machining process is depends on various parameters like tool geometry parameters, cutting parameters, tool materials, work piece materials. In this research work the effect of different back rake angle along with cutting parameters and speed has been investigated while machining AISI H11 steel with single coated carbide tools.

Machining, Surface roughness, Feed, Rake angle, Speed, Coating.


1.       Rishi Raj Singh, Dr. M.P. Singh, Sanjay Singh (2016),“Optimization of machining parameters for minimum surface roughness in end milling” International Journal of Innovative Computer Science & Engineering Volume 3 Issue2; Page No. 28-34, (2016).
2.       Himanshu Payal, Sachin Maheshwari, Pushpendra S. Bharti (2016),"Effect of tool material on surface roughness in electrical discharge machining" Journal of production Engg Vol.19 (1); (2016).

3.       Nibu Mathew, Dinesh Kuma (2015)," study of tool wear rate of different tool materials during electric discharge machining of h11 steel at reverse polarity" IJMERR Vol. 3, No. 3, July (2015).

4.       Hrishikesh Pathak, Sanghamitra Das, Rakesh Doley (2015),"Optimization of Cutting Parameters for AISI H13 Tool Steel by tagauchi method" International journal of material forming and machining processes Volume 6 Issue3, (2015)

5.       M. Dogra,V.S. Sharma, J. Dureja (2011), “Effect of tool geometry  variation on  turning – A Review” Journal of Engineering Science and Technology Review 4 (1) ,pp.1-13, 2011.

6.       Pardeep kumar and S.R Chauhan (2015), “Machinability Study on Finish Turning of AISI H11 Hot Working Die Tool Steel With Cubic Boron Nitride (CBN) Cutting Tool Inserts Using Response Surface Methodology (RSM)” Arabian journal for science and Engineering May 2015, Volume 40,issue 5, pp 1471-1485.

7.       Abdullah Kurt, Bekir Yalçin, Nihat Yilmaz (2015), “The cutting tool stresses in finish turning of hardened steel with mixed ceramic tool” The international journal of advanced manufacturing technology, March 2015.

8.       Xiaobin Cui & Jun Zhao, (2014) “Cutting performance of coated carbide tools in high-speed face milling of AISI H11 hardened steel” Int J Adv Manuf Technol (2014) 71:1811–1824.

9.       Fuzeng Wang,  Jun Zhao, Anhai Li, Hongxia Zhang (2014), “Effects of cutting conditions on microhardness and microstructure in high-speed milling of H11 tool steel” Int J Adv Manuf Technol (2014) 73:137–146.

10.    Daniel Hioki, Anselmo E. Diniz, Amilton Sinatora (2013), “Influence of HSM cutting parameters on the surface integrity characteristics of hardened AISI H11 steel” Journal of the Brazilian society of mechanical sciences and engineering, November 2013, Volume 35, Issue 4, pp 537-553.

11.    J. J. Junz Wang, M. Y. Zheng (2013), “On the machining characteristics of H11 tool steel in different hardness states in ball end milling” Int J Adv Manuf Technol (2003) 22: 855–863.

12.    Usama Umer, “High Speed Turning of H-13 Tool Steel Using Ceramics and PCBN” JMEPEG (2012) 21:1857–1861.

13.    Engr. Kaisan Muhammad Usman (2012), “Effects of Tool Rake Angle on Tool Life in turning Tools” International Journal of Scientific & Engineering Research Volume 3,pp. 2229-5518,2012.

14.    Xiaobin Cui,  Jun Zhao, Chao Jia, Yonghui Zhou (2012), “Surface roughness and chip formation in high-speed face milling AISI H13 steel” Int J Adv Manuf Technol (2012) 61:1–13.

15.    Sanjeev Saini, Inderpreet Singh Ahuja, and Vishal S. Sharma (2012), “Influence of Cutting Parameters on Tool Wear and Surface Roughness in Hard Turning of AISI H11 Tool Steel using Ceramic Tools” International journal of precision engineering and manufacturing, August 2012, Volume 13, Issue 8, pp 1295-1302.

16.    G. Szabo, J. Kundark (2011), “Investigation of coherences between residual stresses and tool geometry by hard turning” Hungarian journal of industrial chemistry Veszprem vol. 39(2),pp.289-294, 2011.

17.    Satyanarayana Kosaraju, Venu Gopal. Anne and Venkateswara Rao.Ghanta (2011), “Effect of Rake Angle and Feed Rate on Cutting Forces in an turning Process” International Conference on Trends in Mechanical and Industrial Engineering (ICTMIE'2011) Bangkok Dec., 2011.

18.    “Optimization of tool geometry parameters for turning operations based on the response surface methodology (2011)” Measurement 44, pp. 580–587, 2011.

19.    Hendri Yanda, Jaharah A. Ghani & Che Hassan Che Haron (2010), “Effect of Rake Angle on Stress, Strain and Temperature on the Edge of Carbide Cutting Tool in
Orthogonal Cutting Using FEM Simulation” ITB J. Eng. Sci., Vol. 42,pp.179-194, 2010.

20.    Tongchao Ding, Song Zhang, Yuanwei Wang, Xiaoli Zhu (2010), “Empirical models and optimal cutting parameters for cutting forces and surface roughness in hard milling of AISI H11 steel” Int J Adv Manuf Technol (2010) 51:45–55.