The vibration signal of a gearbox carries abundant information about its condition and is widely utilized to diagnose the condition of the gearbox. Most of the research efforts in diagnosing gearbox faults, however, assume the acquired vibration signal to be stationary. This paper attempts to highlight the non-stationary nature of gearbox vibration signals owing to uncertainties of the drive and load mechanisms and to synchronize such signals from the revolution point of view. This synchronization is achieved by a simple process referred to as the independent angular re-sampling (IAR) technique. The basis of the IAR technique is the assumption of constant angular acceleration over each independent revolution of the gearbox drive shaft. Through the IAR process, non-stationary signals sampled at constant time increments are converted into quasi-stationary signals sampled at constant angular increments. The angular domain signals obtained from the IAR technique are merged to generate the synchronized angular domain vibration signal for the complete rotational period. The angular domain signal for each gear health condition is partitioned into a number of data samples which are then analyzed using wavelet packet decomposition. Standard deviation values of wavelet packet coefficients are then computed and the resulting vectors utilized as inputs to a multilayer perceptron neural network for identifying the condition of the gearbox.
- Page(s): 01-08
- Date of Publication: 15 April 2017
- Amandeep Singh AhujaNaval Institute of Aeronautical Technology, Naval Base, Kochi, India
- Sravan Kumar KhuntiaNaval Institute of Aeronautical Technology, Naval Base, Kochi, India
- Anand PareyIIT Indore, India
References
[1]. H. Li, Y. Zhang, H. Zheng, Angle domain average and CWT for fault detection of gear crack, in: Proceedings of the IEEE Transaction, Fifth International Conference on Fuzzy Systems and Knowledge Discovery 3, Jinan, Shandong, China, 2008, pp. 137-141. [2]. G. Meltzer, Y. Ivanov, Fault detection in gear drives with non-stationary rotational speed - part I: the time-frequency approach, Mech. Syst. Signal Process. 17 (2003) 1033-1047. [3]. G. Meltzer, Y. Ivanov, Fault detection in gear drives with non-stationary rotational speed - part II: the time-quefrency approach, Mech. Syst. Signal Process. 17 (2003) 273-283. [4]. H. H. Bafroui, A Ohadi, Application of wavelet energy and Shannon entropy for feature extraction in gearbox fault detection under varying speed conditions, Neurocomputing 133(2014) 437-445. [5]. H. Li, Y. Zhang, Gear fault detection and diagnosis under speed-up condition based on order cepstrum and radial basis function neural network, J. Mech. Sci. Technol. 23 (2009) 2780-2789. [6]. M.A. Jafarizadeh, R. Hasannejad, M.M. Ettefagh, S. Chitsaz, Asynchronous input gear damage diagnosis using time averaging and wavelet filtering, Mech. Syst. Signal Process, 22 (2008) 172–201. [7]. N. Ahamed, Yogesh Pandya, A Parey, Spur gear tooth root crack detection using time synchronous averaging under fluctuating speed, Measurement 52 (2014) 1-11. [8]. V. Sharma & A. Parey, Gear crack detection using modified TSA and proposed fault indicators for fluctuating speed conditions, Measurement, 90 (2016), 560–575. [9]. A. Singh & A. Parey, Gearbox fault diagnosis under fluctuating load conditions with independent angular re-sampling technique, continuous wavelet transform and multilayer perceptron neural network, I. E. T. Science, Measurement and Technology, 2016. [10]. Jian-Da Wu, Chiu-Hong Liu, An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network, Expert Systems with Applications 36 (2009) 4278-4286. [11]. Yaguo Lei, Zhengjia He, Yanyang Zi, Application of an intelligent classification method to mechanical fault diagnosis, Expert Systems with Applications 36 (2009) 9941-9948. [12]. Yaguo Lei, Ming J. Zuo, Zhengjia He, Yanyang Zi, A multidimensional hybrid intelligent method for gear fault diagnosis, Expert Systems with Applications 37 (2010) 1419-1430. [13]. Jian-Da Wu, Jian-Ji Chan, Faulted gear identification of a rotating machinery based on wavelet transform and artificial neural network, Expert Systems with Applications 36 (2009) 8862-8875. [14]. J. Rafiee, F. Arvani, A. Harifi, M.H. Sadeghi, Intelligent condition monitoring of a gearbox using artificial neural network, Mech. Syst. Signal Process 21 (2007) 1746-1754. [15]. J. Kang, X. Zhang, J. Zhao, H. Teng, D. Cao, Gearbox fault diagnosis method based on wavelet packet analysis and support vector machine, IEEE Conference on Prognostics and System Health Management (PHM), 2012. [16]. F.N. Fritsch, R.E. Carlson, Monotone piecewise cubic interpolation, SIAM Journal of Numerical Analysis 14 (1980) 238-246. [17]. Z. K. Peng, F. L. Chu, Application of wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography, Mech. Syst. Signal Process 18 (2003) 199-221. [18]. B. Samanta, Gear fault detection using artificial neural networks and support vector machines with genetic algorithms, Mech. Syst. Signal Process 18 (2004) 625-644. [19]. S. Haykin, “Neural Networks: A Comprehensive Foundation”, second edition, Pearson Education, 1998.
Amandeep Singh Ahuja, Sravan Kumar Khuntia, Anand Parey "Gearbox Fault Diagnosis using Independent Angular Re-Sampling Technique, Wavelet Packet Decomposition and ANN" International Journal of Research and Scientific Innovation-(IJRSI) vol.4 issue 4, pp.01-08 2017
Wireless technology is expanding its domain and with it is growing the need for more frequencies for communication. Cognitive radio offers a solution to this problem by using the concept of Dynamic spectrum access instead of fixed spectrum allocation. Such radios are capable of sensing the RF spectrum for identifying idle frequency bands. It then transmits opportunistically so as to avoid interference with primary user over same band. In cognitive radio, intelligent spectrum sensing forms the major and most important part. Out of the various sensing techniques, we will give an overview of some of the prominent non-cooperative techniques. The paper deals with comparative study of these methods.
- Page(s): 09-12
- Date of Publication: 15 April 2017
- Khushbu ECE Dept., Heritage Institute of Technology, Kolkata, India
- Purbasha Datta ECE Dept., Heritage Institute of Technology, Kolkata, India
- Prof. Prabir Banerjee ECE Dept., Heritage Institute of Technology, Kolkata, India
References
[1]. Ying-Chang Liang, Yonghong Zeng,Edward C Y. Pehand Anh Tuan Hoang, ”Sensing-Throughput Tradeoff for Cognitive Radio Network” IEEE Transactions on wireless communication, Vol.7 No. 4, april 2008. [2]. Ravi A. Jani, Yash Sharma “A Review On Spectrum Sensing for Cognitive Radio Network”,International Journal of Advance Engineering and Research Development (IJAERD) volume 1,Issue 5, may 2014,e-ISSN: 2348-4470, print-ISSn:2348-6406 [3]. Tevfik Y¨ucek and H¨useyin Arslan “A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications” IEEE Communications Surveys & Tutorials, vol. 11,No. 1,First Quarter 2009 [4]. Zhi Quan, Shuguang Cui and Ali H. Sayed “Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks” IEEE Journals of Selected Topics in Signal Processing, vol. 2, No. 1, February 2008. [5]. Mahmood A. Abdulsattar and Zahir A. Hussain “Energy Detection Technique for Spectrum Sensing in Cognitive Radio: A Survey” International Journal of Computer Networks & Communication (IJCNC) vol. 4, No. 5, September 2012. [6]. Chandrakant.S.Patil, Rajesh.R.Karhe, Mangesh.T.Nikam “Dynamic Spectrum Sensing Techniques for Cognitive Radio-Based Wireless Communication” International Journal of Scientific Engineering and Technology ISSN 2319-8885 vol.03, Issue.24 September-2014, Pages:4894-4898. [7]. S. Venkateswari, R.Muthaiah “An Overview of Cognitive Radio Architecture a Review” Journal of Theoretical and Applied Information Technology 15 July 2012 vol. 41 No.1. [8]. Apurva Varade, Shriram kulkarni “Overview and Literature Survey on Routing Protocols for Cognitive Radio Networks” International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN:2349-2163 vol. 1, Issue 10,November 2014. [9]. Scott Parsons “Literature Review of Cognitive Radio Spectrum Sensing” EE 359 Project. [10]. Mohd. Sajid Imam, Sheetal Ingle, Shabnam Ara “A Review Paper based on Spectrum Sensing Techniques in Cognitive Radio Networks” Network and Complex Systems ISSN 2224-610X (paper), ISSN 2225-0603 (online) vol. 3, No.9, 2013 [11]. Priya Geete, Megha Motta “Analysis of Different Sprectrum Sensing Techniques In Cognitive Radio Network” International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056 vol. 02 Issue:05, August-2015 [12]. A. Arthy, P.Periyasamy “A Review on Spectrum Sensing Techniques in Cognitive Radio Network” Proceedings of the UGC Sponsored National Conference on Advanced Networking and Applications, 27th March 2015. [13]. Ajay Sharma, Munish Katoch “Analysis of Various Spectrum Sensing Techniques in Cognitive Radio” vol. 5, Issue 5, May 2015 ISSN:2277 128X International Journal of Advanced Research in Computer Science and Software Engineering. [14]. Mansi Subhedar and Gajana Birajdar “Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey” International Journal of Next-Generation Networks (IJNGN) vol. 3, No. 2, june 2011. [15]. Ying-Chang Liang, Kwang-Cheng Chen, Geoffrey Ye Li, Petri Mähönen “Cognitive Radio Networking and Communication : An Overview” IEEE Transaction on Vehicular Technology, vol. 60, No. 7, September 2011. [16]. Shree Krishna Sharma, Tadilo Endeshaw Bogale, Symeon Chatzinotas, Björn Ottersten, Long Bao Le, Xianbin Wang “Cognitive Radio Techniques under Practicle Imperfections: A Survey” IEEE Communication Surveys & Tutorials, vol. 17, No. 4, Fourth Quarter 2015. [17]. Joanna Wallace, Kyle Richardson, Bob Gill “Cognitive Radio Technology: System Evolution” Accepted at the 4th Edition of International Conference on Wireless Networks and Embedded Systems (WECON). [18]. Manthan D. Rana, Hina R.Patel “Improving the Existing Spectrum Sensing Techniques for Cognitive Radio using Modulation Techniques” ISSN (online):2278-1021 ISSN (Print):2319-5940 International Journal Of Advanced Research in Computer and Communication Engineering, vol. 3, Issue 9, September 2014.
Khushbu, Purbasha Datta, Prof. Prabir Banerjee "Comparative Study of Different Non-Cooperative Techniques in Cognitive Radio" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.09-12 2017
In computer vision application, visual features such as shape, color and texture are extracted to characterize images. Each of the features is represented using one or more feature descriptors. One of the important requirements in image retrieval, indexing, classification, clustering, etc. is extracting efficient features from images. The color feature is one of the most widely used visual features. Use of color histogram is the most common way for representing color feature. One of disadvantage of the color histogram is that it does not take the color spatial distribution into consideration. In this paper an automatic color feature vector classification based on clustering approach is presented, which effectively describes the spatial information of color features. The image retrieval results are compare to improved color feature vector show the acceptable efficiency of this approach. It propose an automatic color feature vector classification of satellite images using clustering approach. The intention is to study cluster a set of satellite images in several categories on the color similarity basis. The images are processed using LAB color space in the feature extraction stage. The resulted color-based feature vectors are clustered using an automatic unsupervised classification algorithm. Some experiments based on the proposed recognition technique have also been performed. More research, however, is needed to identify and reduce uncertainties in the image processing chain to improve classification accuracy. The mathematical training and prediction analysis of a general familiarity with satellite classifications meet typical map accuracy standards.
- Page(s): 13-18
- Date of Publication: 15 April 2017
- T. Balaji Assistant Professor of Computer Science, Govt. Arts College, Melur, India
References
[1]. Balaji T., and Sumathi M., “Fast and Efficient Classification Algorithm for FCM Clustering in Remote Sensing Images”, IJISET, Vol. 1, Issue 2, pp. 124–130, May 2014. [2]. Balaji T., amd Sumathi M., “Relational Color Features of Remote Sensing Image Classification Using Dynamic Global Threshold Method”, International Conference Proceedings, ICRSI, Gujarat, pp. 29-34, December 2013. [3]. Balaji T., and Sumathi M., “Relational Features of Remote Sensing Image Classification Using Effective K-Means Clustering”, IJoART, Vol. 8, Issue 8, pp. 103–107, August 2013. [4]. Poulami Haldar and Joydeep Mukherjee, “Content Based Image Retrieval Using Histogram, Color and Edge”, International Journal of Computer Applications, pp 25-31, 2012. [5]. Dr. H.B.Kekre ,MR.Dhirendra Mishra, MS. Stuti narula and MS. Vidhi Shah , “Color Feature Extraction for CBIR”, International Journal of Engineering Science & Technology (IJEST), pp. 8357-8365, 2011. [6]. Ciobanu A., Costin M., Barbu T., “Extraction of Main Colors from a Digital Color Image”, Proceedings of the International Multidisciplinary Scientific Geo Conference, Vol. 1, pp. 1069−1076, 2010. [7]. A. Ciobanu, M. Costin, T. Barbu, “Extraction of Main Colors From A Digital Color Image”, Proc. of International Multidisciplinary Scientific Geo Conference, Vol. 1, pp. 1069-1076, 2010. [8]. Barbu T., Ciobanu A., “Color-Based Image Retrieval Technique Using Relevance Feedback”, Proceedings of Third International Conference on Electronics, Computers and Artificial Intelligence, Vol. 4, pp. 105−108, 2009. [9]. Kanungo T., Mount D.M., Netanyahu N.S., Piatko C.D., Silverman R., Wu A.Y., “An Efficient K-Means Clustering Algorithm: Analysis and Implementation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 7, pp. 881−892, 2009. [10]. Ying Liua, Dengsheng Zhanga, Guojun Lua and WeiYing Mab, “A Survey of Content Based Image Retrieval With High-Level Semantics", Pattern Recognition, Elsevier, pp 262-282, 2009. [11]. M. Castrillon-Santana and Q. C. Vuong, “An Analysis of Automatic Gender Classification”, In Proceedings of Conference on Progress in Pattern Recognition, Image Analysis and Applications, pp. 271–280, 2009. [12]. F. Scalzo, G. Bebis, M. Nicolescu, and L. Loss, “Feature Fusion Hierarchies for Gender Classification”, In Proceedings of International Conference on Pattern Recognition, 2008.
T. Balaji "An Automatic Color Feature Vector Classification Based on Clustering Method" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.13-18 2017
In this thesis software product lines are an important aspect. We introduce the main concepts such as Software Product Line Engineering (SPLE), variability modeling or implementation approaches for SPLs. we Firstly explain code cloning in software product lines. In particular, we emphasize to what extent code clones occur in SPLs and whether differences exist regarding the implementation approach of SPLs. Furthermore, we provide some characteristics of these clones as a first step towards managing such clones proactively or even avoiding them in future. Second, we present a first approach of how to remove code clones in software product lines by applying refactoring. While this is a common and well-explored approach in standalone programs, refactoring is a non-trivial task in the presence of variability. In particular, we present how to find clone refactoring candidates and how to take variability into account during the refactoring process. Before all approaches the Software Clones and Detection, Analysis, and Management of software clones explained.
- Page(s): 19-21
- Date of Publication: 15 April 2017
- Ritika RaniDept. of Computer Science and Engineering HGPI Himachal Pradesh, India
- Er. Pooja RaniDept. of Computer Science and Engineering HGPI Himachal Pradesh, India
[1]. L. Aversano, L. Cerulo, and M. Di Penta. How Clones are Maintained: An Empirical Study. In Proceedings of the European Conference on Software Maintenance and Reengineering (CSMR), pages 81{90. IEEE Computer Society, 2007. [2]. T. Anderson and J. Finn. The New Statistical Analysis of Data. Springer-Verlag, 1996. [3]. V. Alves, R. Gheyi, T. Massoni, U. Kulesza, P. Borba, and C. Lucena. Refactoring Product Lines. In Proceedings of the International Conference on Generative Programming and Component Engineering (GPCE), pages 201{210. ACM Press, 2006. [4]. S. Apel and C. Kastner. An Overview of Feature-Oriented Software Development. Journal of Object Technology (JOT), 8(5):49{84, 2009. [5]. S. Apel, C. Kastner, and C. Lengauer. FeatureHouse: Language- Independent, Automated Software Composition. In Proceedings of the International Conference on Software Engineering (ICSE), pages 221{231. IEEE Computer Society, 2009. [6]. S. Apel, S. Kolesnikov, J. Liebig, C. Kastner, M. Kuhlemann, and T. Leich. Access Control in Feature-Oriented Programming. Science of Computer Programming, 77(3):174{187, 2012. Feature-Oriented Software Development(FOSD 2009). [7]. S. Apel, T. Leich, M. Rosenmuller, and G. Saake. FeatureC++: On the Symbiosis of Feature-Oriented and Aspect-Oriented Programming. In Pro-ceedings of the International Conference on Generative Programming and Component Engineering (GPCE), pages 125{140. Springer-Verlag, 2005. [8]. S. Apel, T. Leich, and G. Saake. Aspectual Feature Modules. IEEE Transactions on Software Engineering (TSE), 34(2):162{180, 2008. [9]. U. Dev A Study on the Nature of Code Clone Occurrence Predominantly in Feature Oriented Programming and the Prospects of Refactoring International Journal of Computer Applications, May 2016 [10]. http://www.ijcaonline.org/ [11]. http://dpt.kupin.de/ [12]. http://jrefactory.sourceforge.net/ [13]. http://www.eclipse.org/
Ritika Rani, Er. Pooja Rani "Software Product Line Analysis and Detection of Clones” International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.19-21 2017
This paper briefly discusses various types of inverters and the output waveforms of square wave inverter and SPWM inverter. FFT analysis is performed on the outputs obtained for SPWM inverter. The variation in THD by varying the Modulating Index and Carrier Frequency is also included.
- Page(s):22-29
- Date of Publication: 15 April 2017
- Sunnie George BaroiDepartment of Electrical Engineering, Hooghly Engineering & Technology College,West Bengal, India
- Saswata SamantaDepartment of Electrical Engineering, Hooghly Engineering & Technology College,West Bengal, India
- Sourodip BanerjeeDepartment of Electrical Engineering, Hooghly Engineering & Technology College,West Bengal, India
References
[1]. M D Singh, K B Khanchandani, “Power Electronics”, Second Edition,The McGraw-Hill Companies, page no. 535-564 [2]. K. Lakshmikhandan, Andy Srinivasan, and M. Dharani, “Improved SPWM Modulation Technique to Reduce Harmonic Distortion in Voltage [3]. Source Converter”, International Journal of Innovation and Scientific Research, ISSN 2351-8014 Vol. 25 No. 1 Jun. 2016, pp. 8-14 [4]. Prof R. Kameswara Rao ,P. Srinivas ,M.V. Suresh Kumar, “Design and Analysis of Various Inverters Using Different PWM Techniques”, The International Journal Of Engineering And Science (IJES) [5]. Swati P. Awate, N.B.Wagh, “Sinusoidal PWM Inverter fed Induction Motor Drive”, International Journal of Engineering Trends and Technology (IJETT) – Volume 31 Number 5- January 2016 [6]. Ahmed Sony Kamal Chowdhury, M. Shamir Shehab, M. Abdul Awal, M. Abdur Razzak, “Design and Implementation of a Highly Efficient Pure Sine-Wave Inverter for Photovoltaic Application” [7]. Rajesh Kumar Ahuja, Amit Kumar, “Analysis, Design and Control of Sinusoidal PWM Three Phase Voltage Source Inverter Feeding Balanced Loads at Different Carrier Frequencies Using MATLAB”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 3, Issue 5, May 2014 [8]. Satish Kumar Peddapelli, “Recent Advances in Pulse Width Modulation Techniques and Multilevel Inverters”, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol:8, No:3, 2014. [9]. http://in.mathworks.com
Sunnie George Baroi, Saswata Samanta, Sourodip Banerjee "Study of Different Types of Inverters and FFT Analysis of Output of SPWM Inverter with Change in Modulating Index and Carrier Frequency" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.22-29 2017
The Things of Internet (TOI) are paradigm stands for virtually interconnected objects that we can identify the objects through its different devices and services with Wi-Fi sensing system, computing, and communications system. All of the implementations, applications and there services are implemented over the TOI architecture system. It can use the concept to get benefit over the cloud computing services. Sensing Service (SS) is cloud-inspired service model which used to enables access the TOI. We present a framework where TOI can enhance public safety through crowd management system, and also provide sensing services with different types of sensors device are available. In order to ensure trustworthiness in the presented framework, where users can support from there reviews with the incentive supported of network, we can also check the trustworthiness of data, for more trustfulness. We have design for mobile services application to demonstrate how users our can connect to Wi-Fi hotspots and how the networks work in crowd sourced Wi-Fi sensing system. We propose a SS scheme namely, Sensing for Crowd Management (SCM) for front-end access to the TOI. To collect and share user experience through Wi-Fi hotspots in an urban and rural area. We incorporate the network into the system. SCM is used to sensing data on cloud model and a procedure which used to selects mobile devices for specific tasks and identifies the payments by users through mobile devices which provide data. The performance of SCM shows that the impact of more users in the crowd sourced data can be degraded by 70% while trustworthiness of a malicious user converges to a value below 30% following few auctions. Moreover, we show that SCM can enhance the utility of the public safety authority up to 80%.
- Page(s): 30-32
- Date of Publication: 15 April 2017
- Arun Tamang Dept. of Computer Science and Engineering HGPI Himachal Pradesh, India
- Er. Gunjan Bhatnagar Dept. of Computer Science and Engineering HGPI Himachal Pradesh, India
Reference
[1]. “A Study on Crowd Management and Sensing” Sri Raj Pradhan student of Department of Computer Science and Engineering PES IT Bangalore, Prof. Jermin Jeaunita T.C. Department of Computer Science and Engineering PES IT [2]. Nanada Wijmermans, Claudine Conrado, Maarteen van Steen, Claudio Martella, Jie Li “A landscape of crowd management support: An Integrative approach,” Elsevier Safety Science 86(2016) 142-164 [3]. Challenge, R., Clegg, C., Robinson, M., 2009b, “Understanding Crowd Behaviour: Tech. Rep. UK Cabinet Office [4]. B. Kantarci and H. T. Mouftah, „„Trustworthy sensing for public safety in cloud-centric Internet of Things,‟‟ IEEE Internet Things J., vol. 1, no. 4, pp. 360– 368, Aug. 2014 [5]. P. Maryam, K. Burak, S. Houbing, “Anchor – Assisted and Vote –Based Trustworthinwess Assurancin Smart City Crowdsensing,” , IEEE Access, Jan 19, 2016 [6]. F.-J. Wu and H. B. Lim, „„UrbanMobilitySense: A user-centric participatory sensing system for transportation activity surveys,‟‟ IEEE Sensors J., vol. 14, no. 12, pp. 4165–4174, Dec. 2014. [7]. G. Cardone, A. Cirri, A. Corradi, and L. Foschini, “The participact mobile crowd sensing living lab: The testbed for smart cities” IEEE Commun. Mag., vol. 52, no. 10, pp. 78–85, Oct. 2014. M. Young, The Technical Writer's Handbook. Mill Valley, CA: University Science, 1989. [8]. S. Distefano, G. Merlino, and A. Puliafito, “Sensing and actuation as a service: A new development for clouds,” in Proc. 11th IEEE Int. Symp. Netw. Comput. Appl. (NCA), 2012, pp. 272–275. [9]. Bogdan-Cosmin, B. Ion, P Victor- Valeriu “Sensing architechture for smart cites using social network platforms”, Springer 8th feb 2016.
Arun Tamang, Er. Gunjan Bhatnagar "Trustworthy Sensing for Public Safety in Cloud Centric Things of Internet with Wi-Fi Sensing System" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.30-32 2017
This paper aims to implement hybrid based Polar encoder using the knowledge of mutual information and channel capacity. Further a Hamming weight successive cancellation decoder is simulated with QPSK modulation technique in presence of additive white gaussian noise. The experimentation performed with the effect of channel polarization has shown that for 256- bit data stream, 30% channels has zero bit and 49% channels are with a one bit capacity. The decoding complexity is reduced to almost half as compared to conventional successive cancellation decoding algorithm. However, the required SNR of 7 dB is achieved at the targeted BER of 10 -4. The penalty paid is in terms of training time required at the decoding end.
- Page(s): 33-38
- Date of Publication: 15 April 2017
- Makarand JadhavPh.D. Student Government COE, Pune, India.
- Dr. Ashok SapkalProfessor Government COE, Pune, India.
- Prof. Ram Patterkine Ex-Head PVG COE, Pune, India.
References
[1]. John G Proakis, Digital Communication Mcgraw-Hill higher education, 2001. [2]. Xia Shao, Weidang Zhang, Ping Li,” Decreasing the BER of turbo codes with short frame by optimizing the energy allocation,” Int. J. of Information and Communication Technology, Vol. 7, No.2/3 pp. 316 – 323, 2015. [3]. D. A. Huffman, “A method for the construction of minimum-redundancy codes,” Proc. IRE, vol. 40, p.p-1098-1101,1152. [4]. Erdal Arikan, “Channel polarization: A method for constructing capacity- Achieving codes for symmetric Binary – Input memoryless channels,” IEEE Transactions on Information Theory, vol. 55, no. 7, pp. 3051-3073, Jul. 2009. [5]. Satish Babu Korada, “Polar codes for channel and source coding”, Ph.D. dissertation, EPFL, Suisse, 2009. [6]. C.E.Shanon,”A mathematical theory of communication,” Bell system Tech. J; vol. 27, pp. 379-423, 623625, July and October 1948. [7]. Shu Lin, Daniel J Costello, Error Control Coding, Pearson Education Inc., Prentice hall, 2005. [8]. Rabiî Dariti, El Mamoun Souidi, “New families of perfect linear error-block codes,” Int. J. of Information and Coding Theory, Vol. 2, No.2/, pp. 84 – 95, 2013. [9]. J. Carmelo Interlando, “Algebraic decoding of the ternary (37, 18, 11) quadratic residue code,” Int. J. of Information and Coding Theory, Vol. 2, No.1, pp. 59 – 65, 2011. [10]. K. Chen, K. Niu and J.R.Lin, “List successive cancellation decoding of Polar codes,” IEEE Electronics Letter, vol. 48, no. 9, pp. 500-501, Apr. 2012. [11]. Naveen Goela, Satish Babu korada & Michael Gastpar, “On LP decoding of Polar codes,” IEEE Information Theory Workshop, Dublin, pp. 1-5, Aug. – Sept. 2010. [12]. Amin Alamdar, Yazdi & Frank, R. Kschischang, “A simplified successive cancellation Decoder for Polar codes,” IEEE Communication Letters, vol. 15, no. 12, pp. 1378 - 1380, Dec. 2011. [13]. Erdal Arikan, “Systematic Polar coding,” IEEE Communication Letters, vol. 15, no. 8, pp. 860-862, Aug. 2011. [14]. John G. Proakis, Masaud Salehi, Contemporary Communication Systems using MATLAB, Thomson Learning, 2000.
Makarand Jadhav, Dr. Ashok Sapkal, Prof. Ram Patterkine "Hamming net based Low Complexity Successive Cancellation Polar Decoder" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.33-38 2017
This paper portrays security advancements and components utilized as part of Grid computing environment. The Grid Security Infrastructure (GSI) executed in the Globus Toolkit also, is portrayed in detail. The principle concentrate is on strategies for distinguishing proof, verification and approval, in view of X.509 endorsements and SSL/TLS conventions. At long last an answer of group based get to control over the network assets is displayed, which is make over on the usage of the Globus Toolkit.
- Page(s): 39-42
- Date of Publication: 15 April 2017
- Avijit Bhowmick Research Scholar Rayalaseema University Kurnool, India
- Dr.Ch. G.V.N.PrasadResearch Supervisor Rayalaseema University Kurnool, India
References
[1]. Foster, I., Kesselman, C., Tsudik, G. et al.: A Security Architecture for Computational Grid. In: 5th Conference on Computer & Communications Security, San Francisco, CA, USA, ACM (1998) [2]. Gombás, G.: Globus toolkit. 2005.http://www.lpds.sztaki.hu/projects/completed/ni2000/globus_toolkit.pdf [3]. Schmidt,J.:Adatintenzív alkalmazások grid-es kornyezetben. 2005. http://aszt.inf.elte.hu/~grid/sclust/SchmidtJanos-dipl.pdf [4]. Welch, V., Foster, I., Kesselman, C. et al.: X.509 Proxy Certificates for Dynamic Delegation. In: 3rd Annual PKI R&D Workshop (2004) [5]. Welch, V., Siebenlist, F., Foster, I. et al.: Security for Grid Services. In: 12th IEEE Int. Symposium on High Performance Distributed Computing (HPDC’03), IEEE (2003) [6]. Community Authorization Service. http://www- unix.globus.org/toolkit/docs/3.2/cas/index.html [7]. Housley, R. et al.: Internet X.509 Public Key Infrastructure - Certificate and Certificate Revocation List (CRL) Profile. 2005. http://www.ietf.org/rfc/rfc3280.txt. [8]. Adwita Pathak , Dr. Pradeep Tomar, “A n Improvement of Security Issue In Grid Computing Using MCS- (SHA-256) “,International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) ,Volume 5, Issue 5, May 2016, ISSN 2278 – 909X. [9]. Akanksha , Dr. Kanwal Garg, ”Security Issues in Grid Computing”, International Journal of Scientific & Engineering Research, Volume 7, Issue 12, December-2016 ISSN 2229-5518. [10]. R. Geetha & D. Ramyachitra, “Security Issues in Grid Computing”, International Conference on Research Trends in Computer Technologies, Proceedings published in International Journal of Computer Applications® (IJCA) , ISSN :0975 – 8887, 2013. [11]. Amarbir Singh, Sarabjit Singh, “An Advanced Analysis on Grid Computing Security Threats”, International Journal of Recents Trends in Engineering and Research, Volume 02, Issue 04; April - 2016, ISSN: 2455- 1457.
Avijit Bhowmick, Dr.Ch. G.V.N.Prasad "Security Mechanisms for Precious Data Protection of Divergent Heterogeneous Grid Computing Resources" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.39-42 2017
The music related web application is used for providing platform to the artists. This application is helpful for anticipating the chance and allow them to connect with alternative artists in Application. The registered users will share their ideas and concepts, produce comes and manage them to make nice content. This application provides recommendations to the artists regarding their specified interests to develop any album collaborate with alternative artists, then purchased through this website solely. This application is going to be deployed into public cloud, for providing opportunity to more artists’ not related to one particular language.
- Page(s): 43-45
- Date of Publication: 15 April 2017
- Challa Vamsi PravallikaSchool of Computer Science Engineering, VIT University, Chennai, Tamilnadu, India.
- Prof. Pradeep. K.VSchool of Computer Science Engineering, VIT University, Chennai, Tamilnadu, India.
References
[1]. Rui Ding1, Jia Zhu1∗, Yong Tang1, Xueqin Lin1, Danyang Xiao1, Haoye Dong1, A Novel Feature Selection Strategy for Friends Recommendation 20th IEEE conference on computer supported cooperative work in design, Jan 2016 [2]. Bins, J.C.: Feature selection from huge feature sets in the context of computer vision[C]. IEEE International Conference on Computer Vision.& Colorado State University, 159-165 (2000). [3]. Seyedehmehrnaz Mireslami, Logan Rakai, Mea Wang, Behrouz, Homayoun Far Minimizing Deployment Cost of Cloud-Based Web Application with Guaranteed QoS, 2015 [4]. Emanuela Srbinovska1 and Pece Mitrevski2 Web Services Deployment in Microsoft Azure Cloud Computing Platform, ICSE, June, 2014. [5]. Vinjamuri Swathi, M.Sunitha Reddy Music Recommendation System Using Association Rules, international journal of technology enhancements and emerging engineering RESEARCH, VOL 2, ISSUE 7 31 ISSN 2347-4289, 2014 [6]. Garcin, F., Dimitrakakis, C. and Faltings, B.: Personalized News Recommendation with Context Trees[C]. 7th ACM Recommender Systems Conference (Recsys 2013)& 105-112 (2013) [7]. CELMA, O. AND LAMERE, P. 2007. ISMIR 2007 tutorial: Music recommendation. http://www.dtic.upf.edu/~ocelma/Music RecommendationTutorial-ISMIR2007/ (last accessed: April 2013). [8]. D. Bogdanov, M. Haro, F. Fuhrmann, A. Xambo, E. Gomez, and P. Herrera, “Semantic audio contentbased music recommendation and visualization based on user preference examples,” Information Processing and Management, vol. 49, no. 1, pp. 13–33, Jan. 2013. [9]. A. Laplante, “Improving music recommender systems: What can we learn from research on music tastes?,” in Conference of the International Society for Music Infor-mation Retrieval (ISMIR), 2014, pp. 451–456.
Challa Vamsi Pravallika, Prof. Pradeep. K.V "Providing Recommendations to Music Artists Using Cloud Web Application" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.43-45 2017
In recent decades, the topic of spirituality in organizations, are increasingly trepidations the researchers that it will be remembered as a benevolent of intelligence. Nowadays, the two concepts of spirituality and ethicality are extensively debated by organizations. Spiritual intelligence is defined as a set of mental capacities which contribute to the awareness, integration, and adaptive application of the nonmaterial and transcendent aspects of one’s existence, leading to such outcomes as deep existential reflection, enhancement of meaning, recognition of a transcendent self, and mastery of spiritual states. Spiritual intelligence concerns the ability to become more conscious of the lower motivations (i.e. fear, greed, ego) and how to transform these to higher motivations that are more sustainable (i.e. creativity, serving the community, etc.).The term “ethical behaviour” refers to how an organization ensures that all its decisions, actions, and stakeholder interactions conform to the organization’s moral and professional principles. The objectives of the research is to examine the influence of spiritual intelligence and human values on ethical behavior in selected ITES Organizations in Bangalore and to find and use the deepest inner resources(Spiritual Intelligence & Ethical Behavior) from which comes the capacity to care and the power to tolerate and adapt in ITES Research instruments in a form of a questionnaire will be used to obtain data from managers and employees about their spiritual intelligence and humane values of selected ITES Organizations in Bengaluru. Spiritual intelligence is defined as a set of mental capacities which contribute to the awareness, integration, and adaptive application of the nonmaterial and transcendent aspects of one’s existence, leading to such outcomes as deep existential reflection, enhancement of meaning, recognition of a transcendent self, and mastery of spiritual states. Spiritual intelligence represents the extent to which higher values, meaning and a sense of purpose influence an individual’s decisions and actions. Spiritual intelligence concerns the ability to become more conscious of the lower motivations (i.e. fear, greed, and ego) and how to transform these to higher motivations that are more sustainable (i.e. creativity, serving the community, etc. This research will try to study the understanding of the connection of spiritual intelligence and human values, as well as the influence they have on employees and managers ethical behavior.
- Page(s): 46-51
- Date of Publication: 15 April 2017
- Santhosh Kumar V Assistant Professor, Department of MBA East West Institute of Technology Anjanagar, Vishwaneedom post Bangalore.
- Dr. Guru Basava Aradya S Professor, Department of Management Studies Alva’s Institute of Engineering & Technology Shobavana Campus, Mijar Moodbidre 574 225
Reference
[1]. Archer, M. S., Collier, A., & Porpora, D. V. (2004). Introduction. In M. [2]. Archer, A. Collier & D. V. Porpora (Eds.), Transcendence: Critical realism & God (pp. 1-23). London: Routledge. [3]. Argandona, A. (2008). Integrating ethics into action theory and organizational theory. Journal of Business Ethics, 78 435-446. [4]. Aristotle. (Trans. 1941). Nichomachean ethics. In R. McKeon (Ed.), [5]. Bhaskar, R. (2008[1975]). A realist theory of science. London: Verso. [6]. Biberman, J., & Whitty, M. (1997). A postmodern spiritual future for work. Journal of organizational Change Management, 10(2), 130-138. [7]. Baghayi R. (2010). Elements of Islamic-Persian pattern of progress. The first Meeting of strategic thoughts on the subject of Islamic-Persian model of progress. Tehran. [8]. Carrette, J., & King, R. (2005). Selling spirituality: The Silent takeover of religion. Abingdon, Oxfordshire Routledge. [9]. Cash, K. C., & Gray, G. R. (2000). A framework for accommodating religion and spirituality in the workplace. Academy of Management Executive, 14(3), 124-134. [10]. Cavanagh, G. F., & Bandsuch, M. R. (2002). Virtue as a benchmark for spirituality in business. Journal of Business Ethics, 38, 109-117. [11]. Emmons, R. A. (2000). Is Spirituality an intelligence? Motivation, cognition and the psychology of ultimate Concern. The international Journal for the Psychology of Religion, 10(1), 3-26. [12]. Emmons, R. A., Cheung, C., & Tehrani, K. (1998). Assessing spirituality through personal goals: Implications for research on religion and subjective well-being. Social Indicators Research, 45, 391-422. [13]. Howard, B. B., Guramatunhu-Mudiwa, P., and White, S. R. (2009). Spiritual intelligence and transformational leadership: A new theoretical framework. Journal of Curriculum and Instruction, 3(2), 54-69. [14]. Saghravani S. (2010). Spiritual Intelligence benefits for the individual and the organization, Tadbir Journal. (215), 35-39. [15]. Samadi, Parvin, (2006),"Spiritual Intelligence", NewThoughts on Education, Period 2, Number 3, 4, pp. 11499 [16]. Smith, J. P. (2011). The effects of self-efficacy and spirituality on the job satisfaction and motivation to lead among redeploying soldiers as moderated by transformational leadership. Regent University. [17]. Yeganegi, a (2010.) ”The role of managers in competency management effectiveness (A Case Study of Telecommunication Company of Qazvin province)". Development of Management Journal, 5. 68-57.
Santhosh Kumar V, Dr. Guru Basava Aradya S “The Influence of Spiritual Intelligence on Ethical Behaviour in ITES Organizations with respect to Bengaluru” International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.46-51 2017
The biggest challenge in today’s world is a searching of images in a large database. For searching of an image a technique which can be termed as Hashing is used. Already there are many hashing techniques are present for retrieval of an image in a large databank. The hashing technique can be done on images by considering the high dimensional descriptor of an image but in the existing hashing techniques single dimensional descriptor is used from this the performance of the probability of distribution of an image search will not achieve as expected. And the drawback is that giving the query input in a texture format leads to the limitations of image search that is firstly due to the limited keyword and the second is Annotation approach by human is ambiguous and incomplete. To overcome from these drawbacks a new technique has been proposed named as Multiview Alignment Hashing technique in which it keeps the high dimensional feature descriptor data as well probability of distribution of an images in a database. Along with the Multiview feature descriptor another technique can be used that is Nonnegetive Matrix Factorization (NMF). NMF is a popular technique used in data mining in which clustering of a data will be takes place by considering only the non- negative matrix value.
- Page(s): 52-55
- Date of Publication: 15 April 2017
- Chandranayaka I RAssistant Professor, Department of ECE, Global Academy of Technology, Bengaluru-98, India.
- Radhakrishna MAssistant Professor, Department of ECE, Global Academy of Technology, Bengaluru-98, India.
- Dipak cumar V CAssistant Professor, Department of ECE, Global Academy of Technology, Bengaluru-98, India.
References
[1]. L. Shao, L. Liu, and X. Li, “Feature learning for image classification via multiobjective genetic programming,” IEEE Trans. Neural Netw. Learn. Syst., vol. 25, no. 7, pp. 1359–1371, Jul. 2014. [2]. Zhu and L. Shao, “Weakly-supervised cross-domain dictionary learning for visual recognition,” Int. J. Comput. Vis., vol. 109, nos. 1–2, pp. 42–59, Aug. 2014. [3]. J. Han et al., “Representing and retrieving video shots in human-centric brain imaging space,” IEEE Trans. Image Process., vol. 22, no. 7, pp. 2723–2736, Jul. 2013. [4]. J. Han, K. N. Ngan, M. Li, and H.-J. Zhang, “A memory learning framework for effective image retrieval,” IEEE Trans. Image Process., vol. 14, no. 4, pp. 511–524, Apr. 2005. [5]. Kunal Shriwas and Vaqar Ansari, “Content based Image Retrieval using Model Approach”, International Journal of Applied Information Systems, Vol. 10,No.08, pp. 27-32, 2016. [6]. Zhu and L. Shao, “Weakly-supervised cross-domain dictionary learning for visual recognition,” Int. J. Comput. Vis., Vol. 109, Nos. 1–2, pp. 42–59, Aug. 2014. [7]. Sandeep Singh and Er.Rachna Rajput, “Content Based Image Retrieval using SVM, NN and KNN Classification”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol. 4, Issue 6, pp.549-552, 2016. [8]. Manoharan Subramanian and Sathappan Sathappan , “An Efficient Content Based Image Retrieval usingAdvanced Filter Approaches”, International Arab Journal of Information Technology, Vol.12,No.3, pp.229-236, 2015. [9]. Vuppala swathi and M. Showkatath Ali, “Feature Based Image Retrieval System using DWT and SVD”, International Journal of Scientific Engineering and Technology Research, Vol.4, Issue 35, pp.7196-7198, 2015. [10]. K. Haridas and Dr. Antony Selvadoss Thanamani, “Well-Organized Content based Image Retrieval System in RGB Color Histogram, Tamura Texture and Gabor Feature”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 10, pp. 8242-8248, 2014. [11]. Duraisamy Yuvaraj and Shanmugasundaram Hariharan, “Content-Based Image Retrieval Based on Integrating Region Segmentation and ColourHistogram”, The International Arab Journal of Information Technology, Vol. 13, No.1A, pp. 203-207, 2016.
Chandranayaka I R, Radhakrishna M, Dipak cumar V C "Efficient Image Retrieval by Multi-view Alignment Technique with Non Negative Matrix Factorization" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.52-55 2017
Interoperability among the multiple camera manufacturers is challenging problem. To solve the problem of interoperability the ONVIF is focusing to define protocol for IP-based video camera. This paper survey of the development of an ONVIF library to develop clients of video camera. This paper addresses the choice of a web services toolkit, and how to use the selected toolkit to develop a basic library. The survey helps the industry to development application easily. In addition to core specification, ONVIF provides many different services. ONVIF Event service is supposed to provide notification messages to registered clients when events happen, which is an essential mechanism to be support to make IPNC intelligent. In this survey paper, we report our efforts to implement ONVIF Event service for the smart IPNC. First, we design S/W architecture, necessary data structures, and workflow of ONVIF Event service according to ONVIF Event service specification. This paper presents the gSOAP stub and skeleton compiler. The skeleton compiler facilitates the unique SOAP to C/C++ applications in SOAP web services, clients, and peer-to-peer computing networks.
- Page(s): 56-59
- Date of Publication: 15 April 2017
- Megha KagdiCHARUSAT University, Gujarat, India
- Prof. Ritesh PatelCHARUSAT University, Gujarat, India
References
[1]. ONVIF, ONVIF™ Core specification, Version 2.2. May, 2012.[Online]Available:http://www.onvif.org/specs/DocMap.html [2]. Sérgio F. Lope, Sérgio Silva, José Mendes, ―Development of a library for clients of ONVIF video cameras: challenges and solutions‖, 978-1-4673-4569-9/13/$31.00 ©2013 IEEE [3]. Robert A. van Engelen and Kyle A. Gallivan,”The gSOAP Toolkit for Web services and Peer-To-Peer Computing Networks,” in 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID’02),2002. [4]. OASIS, Web Services Security:SOAP Message Security 1.1(WS-Security), May 2012. [5]. Xia Liang, Zu Yikang, “System integration solution based on Embedded Web services,”Microcontroller and Embedded Systems,3,2008,pp7-9. [6]. UDDI. The universal descriptiondiscovery and integration (UDDI) specification http://www.uddi.org. [7]. Yogiraj Awati, Rahul Gutal, Saurabh Taware,”Onvifsense: ONVIF Network Device Accessibility Application.” [8]. https://www.tutorialspoint.com/soap/soap_encoding.html [9]. J. Beatty et al., XMLSOAP, Web Services Dynamic Discovery (WS- Discovery), April 2005.[Online] Available : http://specs.xmlsoap.org/ws/2005/04/discovery/wsdiscovery.pdf. [10]. https://curl.haxx.se/libcurl/c [11]. Krishna Reddy Konda, Nicola Conci,”Global coverage maximization in PTZ-camera networks based on visual quality assessment.”2016,IEEE
Megha Kagdi, Prof. Ritesh Patel "A Survey of Interoperability among Surveillance System using ONVIF" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.56-59 2017
Elderly care is one of the many applications supported by real-time activity recognition systems. We have slightly modified the project based on suggestions of the previous examiner and replaced the RFID Card with NFC.Studies show that aged persons experience steady decline in cognitive, visual and physical functions caused by different age-related diseases. New applications are under active development to provide daily support for elderlies with different types and degrees of impairments.
- Page(s): 60-63
- Date of Publication: 15 April 2017
- Karthik ShekarStudents of ECE Department, B.M.S. College of Engineering, Bengaluru, Karnataka, India.
- Sunil Kumar GuptaStudents of ECE Department, B.M.S. College of Engineering, Bengaluru, Karnataka, India.
- ShariffStudents of ECE Department, B.M.S. College of Engineering, Bengaluru, Karnataka, India.
- Madhusudhan K.N.Assistant Professor, Department of ECE, B.M.S. College of Engineering, Bengaluru, Karnataka.
References
[1]. Wireless Patient Monitoring System [IEEE February 2015, Alexsis Bell, Paul Rogers, Chris Fernell, Brett Sparkmen, Scott C. Smith] [2]. Building an IoT -aware healthcare monitoring sys-tem[IEEE February 2016, Freddy Jimenez, Romina Torres] [3]. Wireless Patient Health Monitoring System[IEEE January 2014, Deepesh K. Rathore, Ankita Upamanyu, Deepanshu Lulla] [4]. Body Sensor Network [Benny P.L. Lo, SurapaThiemjarus, Rachel King and Guang-ZhongYang ] [5]. Fuzzy Logic based Health Care System using Wireless Body Area Network [PrakashgoudPatil, SaminaMohsin, Karnataka, India] Contribution: [6]. A Unique Health Care Monitoring System Using Sensors and Zig Bee Technology [EktaMadhyan Mahesh Kadam, Department of Electronics & Telecommunications, Mumbai University, India] Contribution: [7]. Discovering Multidimensional Motifs in Physiological Signals for Personalized Healthcare. [ArvindBal Subramanian, Jun Wang, and RamakrishnanPrabhakaran] Contribution: [8]. Coexistence of zigbee-based WBAN and wifi for Health Telemonitoring Systems [Yena Kim, Student Member, seungseob Lee, Student Member, and sukyoung Lee, Mem-ber] Contribution:
Karthik Shekar, Sunil Kumar Gupta, Shariff, Madhusudhan K.N. "NFC Health Monitoring System" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.60-63 2017
Cyanobacteria are diverse group of oxygenic photosynthetic prokaryotes. Cyanobacteria produces many metabolites including amino acids, protein, vitamins, siderophores and plant growth regulators i.g. IAA (Indole 3- acetic acid). A screening of eight cyanobacterial strains in logarithmic and late logarithmic phase was carried out to study the effect of cell free supernatant on wheat and mung seed germination and growth. The strains showed 100% germination in case of wheat and mung respectively, after three days of inoculation as compared to only 70% germination in control. There was variable response in term of root growth, and fresh weight of seedlings of both mung and wheat in presence of cell free supernatant.
- Page(s): 64-68
- Date of Publication: April 2017
- Mayur GahloutDepartment of Microbiology, KBS Commerce & NATARAJ Professional Sciences College, Vapi. Dist. Valsad – 396195. Gujarat, India
- Hiren PrajapatiDepartment of Microbiology, KBS Commerce & NATARAJ Professional Sciences College, Vapi. Dist. Valsad – 396195. Gujarat, India
- Poonam ChauahanDepartment of Microbiology, KBS Commerce & NATARAJ Professional Sciences College, Vapi. Dist. Valsad – 396195. Gujarat, India
- Rathod HimitakumariDepartment of Microbiology, KBS Commerce & NATARAJ Professional Sciences College, Vapi. Dist. Valsad – 396195. Gujarat, India
- Juhika PatelDepartment of Microbiology, KBS Commerce & NATARAJ Professional Sciences College, Vapi. Dist. Valsad – 396195. Gujarat, India
References
[1]. Bongale, U.D. (1985). Pot culture studies on the effect of extracellular products ofnitrogen fixing blue-green algae on the growth and yield of onion (Allium cepaL.)and beans (Phaseolus vulgaris L.). J. Karnataka University Sci. 30:4-6. [2]. Bongale, U.D. (1990). Effect of algal filtrates as foliar sprays on leaf yield of mulberry indifferent seasons. In: National Symposium on cyanobacterial Nitrogen Fixation.pp.371-377. [3]. Bongale, U.D., Magadi, A.P. and Bharati, S. G. (1980). Effect of Hapalosiphonextract onseed germination in paddy. Proc. Nat. Symp. on Algal Systems. Indian Soc.Biotechnol. pp.59-61. [4]. Brown, F., Cuthbertson, W.F.J. and Fogg, G.E. (1956). Vitamin B12 activity of ChlorellaVulgarisBeij and Anabaena cylindricalLemm. Nature 177:188.algae independence on the culture age. Ukr. Bot. Zh. 30:636–639. [5]. Fay, P., 1983. The Blue- greens (Cyanophyta-Cyanobacteria). Edward Arnold Publishing. Baltimore, 88. [6]. Gupta, A.B. and Kushwaha, A.S. (1970). Studies on the effect of Phormidium foveolarumextract on the growth and yield of Triticuma estivum. I. The effect of pre-soakingseeds in ether and water extracts of [7]. P. foveolarum in pot cultures. Labdev. J. Sci.Technol. 8:105. [8]. Kalasariya, H.S., Patel, R.V., Pandya, K.Y., Jasrai, R. T., &Brahmbhatt, N. H. (2016). A Review On Nutritional Facects Of Seaweeds. [9]. Kopteva, Z.H.P. (1970). Biosynthesis of thiamine, riboflavin and vitamin B12 by someblue-green algae. MikrobiolZh (Kiev), 32:429–433. [10]. Sergeeva, E., A. Liaimer and B. Bergman, 2002. Evidence for production of the Phytohormone indole- 3- acetic acid by cyanobacteria. Planta, 215: 229-238. [11]. Tiwari, V. and Lehri, L.K. (1990). Effect of algal exudates alone and in combination withAzotobacteron wheat crop. In: B.D. Kaushik (ed.) National Symposium oncyanobacterial Nitrogen Fixation., National Facility for Blue-Green AlgalCollections. Indian Agricultural Research Institute, New Delhi, pp.363-365. [12]. Tupik, N.D. (1973). Study of the content of group B vitamins in cells of some blue-greenalgae independence on the culture age. Ukr. Bot. Zh. 30:636–639. [13]. Venkataraman, G.S, 1981.Blue green algae for rice production. FAO Soil Bull.,16: 33-42.
Mayur Gahlout, Hiren Prajapati, Poonam Chauahan, Rathod Himitakumari and Juhika Patel "Isolation, Identification and Evaluation of Seed Germination Efficiency of Cyanobacterial Isolates" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.64-68 2017
The microorganisms have developed resistance to many commercial antibiotics due to indiscriminate use of antimicrobial drugs. Therefore, investigation of medicinal plant with new chemical compounds and its antimicrobial action have become a necessity. As spices have the antimicrobial potential, in the present study, the antimicrobial activity of Cinnamomum verum have been investigated as alternative to antibiotics. In search of new chemical compound, methanolic and chloroform extract of Cinnamomum verum was screened for antimicrobial property and phytochemical analysis.Antimicrobial activities of these extracts were tested against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus subtilis, Bacillus megatarium, Klebsiella mobilis, Bacillus cereus, Proteus vulgaris, Aspergillus niger and Penicillium stolonifer. The agar well diffusion was used for initial screening, while minimum inhibitory concentrations (MICs) were determined usingserial agar macro-dilution method for active extracts on the initial method. Chloroform extract of spice showed highest antibiotic activity compared to methanolic extract. Phytochemical analysis was used for detection of alkaloids, flavonoids, glycosides, terpenoids, steroids, tannin etc. In conclusion, the Chloroform extract of spice could be used as potential sources of new antimicrobial agent.
- Page(s): 69-74
- Date of Publication: April 2017
- Mita VakilwalaK.B.S Commerce and Nataraj Professional Sciences College, Vapi (Gujarat)-India.
- Krupali Macan K.B.S Commerce and Nataraj Professional Sciences College, Vapi (Gujarat)-India.
- Ayushi Tandel K.B.S Commerce and Nataraj Professional Sciences College, Vapi (Gujarat)-India.
References
[1]. Mazimba, O., Wale, K., Tebogo, E., Tebogo, E., &KwapeShetonde, O. (2015). Cinnamomumverum: Ethylacetate and methanol extracts antioxidant and antimicrobial activity. J Med Plants Studies, 3(3), 28-32. [2]. Shailesh. (2015) Preliminary phytochemical and antimicrobial screening of Syzygiumaromaticum, Elettariacardamomumand Piper nigrumextracts.JPP, 4(3): 85-89 [3]. Shirwaikar, Annie, PrabhuKirti, Punitha. (2006). In vitro anti-oxident studies of Sphaeranthusindicus(Linn). INDIAN J EXP BIOL, vol 44: 993-996 [4]. PandeyBhawana, KhanShabina and SinghSheetal.(2014).A Study of antimicrobial activity of some spices.Int. J. Curr. Microbiol. App. Sci, 3(3): 643-650 [5]. Shreya, A., Manisha, D., &Sonali, J. (2015). Phytochemical screening and anti-microbial activity of cinnamon spice against urinary tract infection and fungal pathogens. International journal of life science and pharma research, 5(4), p30-P38. [6]. Chaudhry, N. M. A., & Tariq, P. (2006). Bactericidal activity of black pepper, bay leaf, aniseed and coriander against oral isolates.Pakistan Journal of Pharmaceutical Sciences, 19(3), 214-218 [7]. Lin CC, Wu SJ, Chang CH, Nu LT.(2003): Antioxidant activity of Cinnamomum cassia.Phytotherapy Research 17: 726-730 [8]. Hassan, S. A., Barthwal, R., Nair, M. S., &Haque, S. S. (2012). Aqueous bark extract of CinnamomumZeylanicum: a potential therapeutic agent for streptozotocin-induced type 1 diabetes mellitus (T1DM) rats. Tropical Journal of Pharmaceutical Research, 11(3), 429-435. [9]. Pandey, S., Pandey, D. R., & Singh, P. (2014). Phytochemical screening of selected medicinal plant Cinnamomzeylanicum bark extract, Area of research; Uttarakhand, India.International journal of scientific and research publication, 4, 1-6. [10]. Vetal, S., Bodhankar, S. L., Mohan, V., &Thakurdesai, P. A. (2013). Anti-inflammatory and anti-arthritic activity of type-A procyanidine polyphenols from bark of Cinnamomumzeylanicum in rats.Food Science and Human Wellness, 2(2), 59-67. [11]. Sibi, G., Apsara, V., Dhananjaya, K., Ravikumar, K. R., &Mallesha, H. (2013). Phytochemical and antibacterial properties of spices against food borne bacteria with special reference to Parmeliaperlata.Global J. Bio-Sci. Biotechnol, 2, 145-149. [12]. Mattana, C. M., Satorres, S. E., Sosa, A., Fusco, M., &Alcaráz, L. E. (2010). Antibacterial activity of extracts of Acacia aroma against methicillin-resistant and methicillin-sensitive Staphylococcus.Brazilian Journal of Microbiology, 41(3), 581-587. [13]. Pujol, I., Guarro, J., Llop, C., Soler, L., &Fernández-Ballart, J. (1996). Comparison study of broth macrodilution and microdilution antifungal susceptibility tests for the filamentous fungi.Antimicrobial agents and chemotherapy, 40(9), 2106-2110. [14]. Perveen T. NaziaM.A.C. (2006).Bctericidal Activity of Black Pepper, Aniseed and Coriander Against Oral Isolates. Pakistan Journal of Pharmaceutical Sciences, (3):214-218. [15]. Jyothiprabha, V., &Venkatachalam, P. (2016). Preliminary Phytochemical Screening of Different Solvent Extracts of Selected lndian Spices. Int. J. Curr. Microbiol. App. Sci, 5(2), 116-122.
Mita Vakilwala, Krupali Macan and Ayushi Tandel "Phytochemical Analysis and Antimicrobial Activity of Cinnamomum Verum" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.69-74 2017
Protease are among the most widely used enzyme in industries like, detergent, food, leather and pharmaceuticals. Protease performs proteolysis by breaking peptide fraction and amino acid. In the present study bacteria were isolated from soil of various regions of Vapi. A total of 14 bacterial colonies were isolated from soil sample. All 14 isolated colonies shows zone of clearance on casein agar plate which indicates their ability to produce protease enzyme. The isolated colony of bacteria showing protease activity was quantified by enzyme assay. Bacterial isolate P-1 shows maximum enzyme activity under submerged fermentation.
- Page(s): 75-78
- Date of Publication: April 2017
- Mita VakilwalaDepartment of Microbiology, KBS Commerce and NATRAJ Professional Science College, Vapi, Gujarat, India
- Devyani PatelDepartment of Microbiology, KBS Commerce and NATRAJ Professional Science College, Vapi, Gujarat, India
References
[1]. I.S.Sony and V.P.Potty., "Screening of protease produced by bacterial isolates of bakery industry." International Research Journal of Biological Sciences , Volume 6(2),36-41, february(2017). [2]. Gupta, R.; Beg, Q.K. And Lorenz, P., . " Bacterial alkaline protease:Molecular approaches and industrial application.", Appl. Microbiol. Biotech. 2002. 59:15-32. [3]. Banerjee, U.C.; Sani, R.K.; Azmi, W. and Soni, R(1999). Process. Biochemistry., 1999. 35(1): 213-219. [4]. Anwar, A. and Saleemuddin, M. Alkline protease from Spilosoma oblique: potential application in bioformulalation.Biotechnology and Applied Biochemistry. April 2000, vol.31:85-89. [5]. Vasantha, Soumya Thrivikraman, and Abhilash Thankappan Subramanian. "Optimization of cultural conditions for the production of an extracellular protease by Pseudomonas species." International Current Pharmaceutical Journal 2.1 (2012): 1-6. [6]. Abbas Akhavan Sepahy Leila Jabalameli . "Effect of cultural conditions for the production of an extracellular protease by Bacillus sp.isolated from soil sample of lavizan jungle park." Hindawi volume 2011(2011), Article ID 219628. [7]. Henroette C., Zinebi S., Aumaitre M.F., Petitdemange E. and Petitdemange H., “Protease and lipase production by a strain of Serratia marcescens”. J. Ind. Microbiol. , (1993), 12:129-135. [8]. Journal of Bio-Molecular Sciences,(2014),2(1):1-5. Joo H., Kumar G., Park G., Kim K.T., Paik S.R. and Chang C., “Optimization of the production of an extracellular alkaline protease from Bacillus horikoshii” Process Biochemistry, (2002), 38:155. [9]. Kalaiarasi K., and Sunitha P. U., “Optimization of alkaline protease production from Pseudomonas fluorescens isolated from meat waste contaminated soil”. Afr. J. Biotechnol, (2009), 8 (24): 7035- 7041. [10]. Nisha N. S. and Divakaran J., “Optimization of alkaline protease producing from Bacillus subtilis NS isolated from sea water”. Afr. J. Biotechnol,(2014), 13(16):1707-1713. [11]. Priest F.G., “Extracellular enzyme synthesis in the genus Bacillus”. Bacteriol Rev, (1977), 41:711- 753. [12]. Rani K., Rana R. and Datt S., “Review on latest overview of Protease”, International Journal of Current Life Sciences, (2012) Vol.2 (1):12– 18. [13]. Singh J., Batra N. and Sobti R.C., “Serine alkaline protease from a newly isolated Bacillus sp. SSR1” Process Biochemistry, (2001a), 36:781. [14]. Sumantha A., Sandhya C., Szakacs G., Soccol C.R. and Pandey A., “Production and partial purification of a neutral metalloprotease by fungal mixed substrate fermentation”, Food Technology and Biotechnology, (2005), 43:313-319.
Mita Vakilwala and Devyani Patel "Isolation and Screening of Protease Producing Organisms from Soil Sample" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 4, pp.75-78 2017