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• Open Access   Article

  Fault Identification in Sub-Station by Using Neuro-Fuzzy Technique

  A. Yadav, V.K. Harit

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.4 , Issue.6 , pp.1-7, Dec-2016

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  Abstract
  Fault identification and its diagnosis is an important aspect in present scenario of power system, as huge amount of electric power is utilized. Random types of faults occur in substation, which leads to irregular and discontinue supply of power from generating to consumer point. Fault detection is an important concept of power system which is to be studied and new method has to develop for fault detection and removal of it. This paper proposed on-line fault detection and identification of fault-type by using Neuro-Fuzzy method in substation. Combination of Artificial Neural Network (ANN) with Fuzzy Logic (FL), results in gaining learning capabilities of fuzzy logic. Variation of current according to fault is used for identification. Fuzzy controller display output condition in form of (0,1).Here, single line-to ground (LG) fault, line-to-line (LL) fault, double line-to ground (LLG)/ LLL fault are considered.

  Key-Words / Index Term
  Artificial Neural Network, Fuzzy Logic, Substation, Fault, Graphical User Interface, MATLAB Software

  References
  [1]. Z. Wang, Yilu Li, P. J. Griffin, N. C. Wang, T. Y. Guo, F. T.C. Huang ,“Artificial Intelligence in Power Equipment Fault Diagnosis”, IEEE Trans. On power deliver, Vol.3 ,No.8 , pp247-252, 2000.
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  [15]. K. Santhi, V.Abinaya, "Intrusion Detection System for Black Hole Detection and Prevention in MANET Using Adaptive Neural Fuzzy Inference Systems", International Journal of Computer Sciences and Engineering, Vol.3, Issue.12, pp.82-88, 2015
  [16]. Amin Dastanpour, Suhaimi Ibrahim, RezaMashinchi, "Effect of Genetic Algorithm on Artificial Neural Network for Intrusion Detection System", International Journal of Computer Sciences and Engineering, Vol.4, Issue.10, pp.10-18, 2016.
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  Citation
  A. Yadav, V.K. Harit, "Fault Identification in Sub-Station by Using Neuro-Fuzzy Technique," International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.6, pp.1-7, 2016

• Open Access   Article

  Investigation of Efficient Cryptic Algorithm for Storing Video Files in Cloud

  A. Sharma, RS Thakur, S. Jaloree

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.4 , Issue.6 , pp.8-14, Dec-2016

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  Abstract
  Cloud computing has brought good impact on the way, we use ICT resources. We are using various offerings of cloud computing which includes Flexible Computing Power,Flexible Storage capabilities, Platform as a service,Infrastructure as a service and software as a service on pay per use model. Nows a day the Customers are using their Smartphones to migrate their data in cloud storages but keeping in view of security issues in cloud storages, one must think of encrypting their data in cloud storages. Since in cloud storages, we keep various documents and we must think of fast encryption and decryption symmetric algorithm. but in literature, we do not find work that deals with investigation of efficient cryptic Algorithm for audio or video Files in cloud storages. In this paper, we are analyzing the performance of Cryptographic algorithms AES, Blowfish and DES algorithms in terms of encryption and decryption time taken depending upon the four factors namely file type, file size, key type and key size in case video files which may includes MPG, MPEG formats. For performance analysis, we have used Crypter tools deployed in Amazon Cloud and Tool is capable to encrypt and decrypt different types of files (in terms of size and format) depending upon variable or fixed type of key using AES, Blowfish and DES algorithms and the performance of these Cryptographic algorithms AES, Blowfish and DES algorithms can be analyzed in terms of time taken depending upon different types of files and different types of Keys. Analysis of the result obtained will help the user’s to take decision regarding the selection of best symmetric algorithm to be used while uploading video data in cloud.

  Key-Words / Index Term
  Cloud Computing, Cryptography, Encryption, Crypter Tool, Decryption

  References
  [1] Vivek Raich, Pradeep Sharma, Shivlal Mewada, Makhan Kumbhkar, "Performance Improvement of Software as a Service and Platform as a Service in Cloud Computing Solution", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.6, pp.13-16, 2013.
  [2] Shivlal Mewada, Umesh Kumar Singh and Pradeep Sharma, "Security Enhancement in Cloud Computing (CC)", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.1, pp.31-37, 2013.
  [3] Shivlal Mewada, UK Singh, Pradeep Sharma, “Security Based Model for Cloud Computing”, International Journal of Computer Networks and Wireless Communications, Vol.1, No.1, pp.13-19, 2011.
  [4] Aarti Shrivastava, Pradeep Sharma, Shivlal Mewada, “Two Level Security Algorithm of Data in Cloud Computing”, UDGAM VIGYATI, Vol 2, pp.188-195, 2015.
  [5] Ashok Sharma, Ramjeevan Thakur, Shailesh Jaloree, “Investigation of Efficient cryptic Algorithm for cloud storage”, Fourth International Conference on Recent Trends in Communication and Computer Networks, India, pp.23-30, 2016.
  [6] CH. Meyer, SM. Matyas, “Cryptography: A New Dimension in Computer Data Security”, John Wiley & Sons, NewYork, pp.1-640, 1982.
  [7] Dorthy Elizabeth, Robling Denning, “Cryptography and Data Security”, Addison-Wesley Publishing Company, Massachusetts, pp.301-340, 1982.
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  [9] Shivlal Mewada, Sharma Pradeep, SS. Gautam, “Classification of Efficient Symmetric Key Cryptography Algorithms”, International Journal of Computer Science and Information Security, Vol. 14, No. 2, pp.105-110, 2016 .
  [10] Shivlal Mewada, Pradeep Sharma, S.S Gautam, “Exploration of Efficient Symmetric AES Algorithm”, IEEE 2016 Symposium on Colossal Data Analysis and Networking (CDAN), Indore, pp.1-5, 2016.
  [11] Shivlal Mewada, Sharma Pradeep, SS. Gautam, “Exploration of Efficient Symmetric Algorithms”, IEEE 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), Delhi, 663-666, 2016.
  [12] Shaligram Prajapat, Gaurav Parmar, R.S.Thakur, "Towards investigation of efficient Cryptosystem using Sgcrypter", Special Issue of International Journal of Applied Engineering and Research (IJAER), Vol. 10, Issue.79, pp. 853-858, 2015.
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  Citation
  A. Sharma, RS Thakur, S. Jaloree, "Investigation of Efficient Cryptic Algorithm for Storing Video Files in Cloud," International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.6, pp.8-14, 2016

• Open Access   Article

  Mining fractious chronological Patterns through novel Apriori Approach

  Pradeep Chouksey

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.4 , Issue.6 , pp.15-20, Dec-2016

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  Abstract
  The purpose of this paper is to present an introduction to Distributed Databases which are becoming very popular now days. Distributed database systems provide an improvement on communication and data processing due to its data distribution throughout different network sites. Not only is data access faster, but a single-point of failure is less likely to occur, and it provides local control of data for users. We present a study of the fundamentals of distributed databases (DDBS). We discuss issues related to the motivations of DDBS, architecture, design, performance, and concurrency control, etc. and also we explore some of the research that has been done in this specific area of DDBS. In this paper we present some research on: query optimization, fragmentation.

  Key-Words / Index Term
  Query Optimization; Fragmentation Optimization; Concurrency Control; Recovery

  References
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  Bitmapped Join Indices. SIGMOD Record,
  [2] Ambrose Goicoechea. 2000. Requirements Blueprint and Multiple Criteria For Distributed Database Design. International Council on Systems Engineering (INCOSE)
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  Using Active Networks. ACM 1-58113-239- 5/00/003
  

  Citation
  Pradeep Chouksey, "Mining fractious chronological Patterns through novel Apriori Approach," International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.6, pp.15-20, 2016

• Open Access   Article

  Advance Remote Control Home Appliance Switching System Using Radio Frequency and Bluetooth

  B.H.S. Jaleleddine

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.4 , Issue.6 , pp.21-27, Dec-2016

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  Abstract
  As the world gets more and more technologically advanced, we find new technology coming in deeper and deeper into our personal lives even at home. Modern houses are gradually shifting from conventional switches to wireless controlled switches. This is the advance switching system in today’s technology. In this paper, we present the design and implementation of a low cost but flexible home automation system using Radio Frequency and Bluetooth. We are controlling our home appliance using a simple circuit, which consists of RF transmitter (TX02) and RF receiver (ROHS) and also with Bluetooth which can transmit and receive. It is Atmega 8 Microcontroller based circuit. This system is designed to be scalable allowing variety of devices to be controlled with minimum change to its core.

  Key-Words / Index Term
  Wireless monitor, RF Trans Receiver mode, Bluetooth mode, AVG Microcontroller.

  References
  [1]. Neng-Shiang Liang, Li-Chen Fu and Chao-Lin Wu, "An integrated, flexible, and Internet-based control architecture for home automation system in the Internet era", Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), Washington, pp. 1101-1106, 2002.
  [2]. EROL Yavuz, H. BALIK Hasan, INALI Serkan, KARABULUT Duygu, "safe and secation PIC based remote control anplication for intelliaent home", IJCSNS International Journal of Computer Science and Network Security, Vol.7, No.5, May 2007.
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  [7]. Masahiro Inoue, Toshiyasu Higuma, Yoshiaki Ito, Noriyuki Kushiro and Hitoshi Kubota, "Network Architecture for Home Energy Management System," IEEE Trans. Consumer Electron., Vol.49, No.3, pp. 606-613, Aug. 2003.
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  Citation
  B.H.S. Jaleleddine , "Advance Remote Control Home Appliance Switching System Using Radio Frequency and Bluetooth," International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.6, pp.21-27, 2016

• Open Access   Article

  Simple GA & Hybrid GA for Basis Path Testing under BDFF

  Manoj Garg and Dinesh Kumar

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.4 , Issue.6 , pp.28-35, Dec-2016

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  Abstract
  Test data generation is a key problem in software testing. Many automatic tools are already present but some are not optimal for large scale, some requires information of local or global solution of problem, some are not suitable to run time conditions. In this paper simple GA & hybrid GA have been implemented to produce automatic data set for testing under basis path testing criteria using branch distance based fitness function in MATLAB. Experimental comparison has been performed first up to twenty five iterations and second up to fifty iterations on same initial population set & then on randomly generated initial population set. After these comparisons conclusion has been made.

  Key-Words / Index Term
  Basis path coverage testing, Branch distance fitness function, Simple genetic algorithm, Hill climbing, Memetic genetic algorithm.

  References
  [1]. A. Bertolino, "Software Testing Research: Achievements, Challenges, Dreams", Future of Software Engineering, Minneapolis, pp. 85-103, 2007.
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  Citation
  Manoj Garg and Dinesh Kumar, "Simple GA & Hybrid GA for Basis Path Testing under BDFF," International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.6, pp.28-35, 2016

• Open Access   Article

  Efficient Deep Learning for Big Data: A Review

  Prakash Singh

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.4 , Issue.6 , pp.36-41, Dec-2016

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  Abstract
  The data science is composed of Big Data Analytics (BDA) and Deep Learning (DL). Apart from this Big Data (BD) has got popularity due to its importance in the present genre for both the public and private organizations, as this applies to collection of huge data. Basically, the BD is composed of many national intelligence applications, medical technology, cyber security data, etc. Many of the companies are analyzing the BD for its business purpose. The DL is the sequential or active learning process which collects the complex data and high-level data. This DL has its own beneficial key functions like learning and analysis of the enormous volume of unsupervised data (UD). This performs as the most valuable data analytics tool for BDA. In this paper, a brief overview of Deep learning in Big Data Analytics is presented with the challenges of DL in BD. The statistical survey is formulated by using IEEExplore. Finally, the paper future study requirements in Deep learning are discussed.

  Key-Words / Index Term
  Big Data, Big Data Analytics, Deep Learning, Machine Learning, Unsupervised Data

  References
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  [14] Fei Wu; Zhuhao Wang; Zhongfei Zhang; Yi Yang; Jiebo Luo; Wenwu Zhu; Yueting Zhuang, "Weakly Semi-Supervised Deep Learning for Multi-Label Image Annotation", in Big Data, IEEE Transactions on, vol.1, no.3, pp.109-122, Sept. 1, 2015
  
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  [18] Park, S.-W.; Park, J.; Bong, K.; Shin, D.; Lee, J.; Choi, S.; Yoo, H.-J., "An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications",IEEE Transactions on Biomedical Circuits and Systems, vol.9, no.6, pp.838-848, 2015.
  [19] Jun Wang; Wei Liu; Kumar, S.; Shih-Fu Chang, "Learning to Hash for Indexing Big Data—A Survey", Proceedings of the IEEE, vol.104, no.1, pp.34-57, 2016.
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  Citation
  Prakash Singh , "Efficient Deep Learning for Big Data: A Review," International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.6, pp.36-41, 2016