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IJERD : Volume 7, Issue 6
M.Arulmani, V.R.Hema Latha
|Mars Mathematics (New Discovery on Value of E, Pie () Constants)|
Good News to all the Global population and mathematical scholars! It is focused that the Tamil based Indians who already lived in Mars Planet in prehistoric time before modern human population started leaving on Earth Planet. When lived in Mars they were very expert in Astronomical Science and climate control techniques and effectively controlling the inter planet disorders. They were not only expert in astronomical science but also expert in advanced mathematics and formulated the characteristics of planets, solar system, shape of Cosmo universe etc in tiny dot code form. They observe that the expansion of Universe matters and Physical and Chemical Properties of observable universe have logarithmic behavior. It is speculated that they adopted the mathematical system called NATURAL LOGARITHM for formulating the behavior of Universe, with constants such as e, pie(). Further it is speculated that these natural universal constants were of rational numbers in Prehistoric time......
a) Logarithm with base 3.
b) Prehistoric Mathematical tool.
c) Mathematical constants e, pie() are rational numbers.
d) e, pie symbol are related to geometric position of Sun, Earth, Moon.
e) Natural logarithm is pure Mathematics.
f) e, Pie become variant due to asymmetry in triangular base universe.
|A Corpus Approach for Opinion Mining to Improve the Performance Using Averaging|
Opinion mining is one of the Natural Language Processing (NLP) which helps user to interact with the computer in user (i.e. natural) languages. The customer's reviews and opinion mining has become one of the wealthily areas in data mining. Nowadays as the enormous development of using web applications and sites provides a good platform for the customers to express their opinions directly on online shopping and company web sites like Cnet.com, Amazon.com etc., customers opinion becomes the helpful tools to manufacturers for assessment, finding satisfying proportion and limitation of the products. Recently many works are processed on this area of opinion mining, using different techniques. The urbanized techniques are good but still there are many challenges and obstacles found. In this paper, we collected opinions of various users from various review sites and constructed a corpus to perform classification and the challenges that face the opinion mining. This approach is tested on social networking reviews such as product reviews, movie reviews and MySpace comments. The classification approach can improve the effectiveness in terms of micro averaging and macro averaging.
Opinion mining, NLP, corpus, customer review, classification, data mining, social networks.
. Boyan Bonev, Gema Ramrez Sanchez, Sergio Ortiz Rojas, "Statistical sentiment analysis performance in Opinum", in arXiv, 2013
. Saifee Vohra, Jay Teraiya, "Applications and Challenges for Sentiment Analysis : A survey", in IJERT, 2013
. Erik Cambria, Yangqiu Song, Haixun Wang, Newton Howard, "Semantic Multi-Dimensional Scaling for Open-Domain Sentiment Analysis" in IEEE Intelligent Systems, 2012
. J. Kamps, M. Marx, R. Mokken, and M.de Rijke, "Using WordNet to measure semantic orientation of adjectives," in LREC, 2012
. Xiaohui Yu, Yang Liu, Jimmy Xiangji Huang, Aijun An, "Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain", in IEEE transactions on knowledge and data engineering, 2012....
Dr. Sunil S. Pusadkar, Ms. Tejas Bhatkar
|Behaviour of Raft Foundation with Vertical Skirt Using Plaxis 2d|
Skirted foundation is one in which vertical or inclined wall surrounds one or more sides of the soil mass beneath the footing. Skirted foundation is an alternative approach required for improving the bearing capacity of raft foundation by using "structural skirts" fixed to the edges of the raft foundation. Construction of vertical skirts at the base of the raft foundation confines the underlying soil and generates a soil resistance on skirt side that helps the footing to resist sliding. The present work focused on the analysis of two sided and one sided skirted raft with and without vertical skirt using a finite element software PLAXIS 2D. The studied parameters include the raft sizes,skirt depth and then compared with those of raft without vertical skirt. The results indicated that using structual skirts for raft foundation has a significant effect in improving the bearing capacity. This improvement increases with the skirt depth with varying raft sizes for two sided raft foundation vertical skirt with decrease in settlement. Whereas in one sided raft foundation with vertical skirt there is increase in both bearing capacity and settlement.Thus finite element analysis presented in this study helped in better understanding and identifying the failure pattern of skirted raft with and without skirt for raft foundation with vertical skirt.
Raft Foundation, Structural Skirt, PLAXIS 2D, Bearing Capacity, Settlement.
. Al-Aghbari M.Y. (2007), "Settlement of Shallow Circular Foundations with Structural Skirts Resting on Sand", the Journal of Engineering Research Vol. 4, No.1 (2007) 11-16
. Azzam W. R. and Farouk A. (2010), "Experimental and Numerical Studies of Sand Slopes Loaded with Skirted Strip Footing", Electronic Journal of Geotechnical Engineering, Vol – 15.
. Mahiyar H. and Patel A. N. (2000), "Analysis of Angle Shaped Footing Under Eccentric Loading", Journal of Geotechnical and Geoenvironmental Engineering, ASCE, Vol - 126, No. 12, pp. 1151- 1156.
. Nazir A. K and Wasim A.R (2010), "Improving the bearing capacity of footing on soft clay with sand pile with/ without skirts", Alexandria Engineering Journal 49,371-377.
. Shabana S.K and Joseph M (2010), "Effect of Structural Skirt on Square Footing" http://22.214.171.124:8180/jspui/bitstream/123456789/1063/1/CEGE10.pdf.
K.Sundaramoorthy, Dr.S.Srinivasa Rao Madane
"Minimal Java", focuses on reducing the verbosity present in java programming language‟s syntax specification by designing a new syntax specification (called as "MiVa‟ henceforth) and a compiler designed specifically for recognizing the MiVa syntax specification.
MiVa-Minimal java, verbosity-wordiness.
. Alfred V. Aho, Ravi Sethi, Jeffrey D. Ullman (2007), "Compilers: principles, techniques, and tools." Pearson Education Inc.
Vimal, Mahendra Kumar Patil
|Review of Various Data Hiding Algorithms in Encrypted Images|
Reversible data hiding is a technique to embed additional message into some cover media with a reversible manner so that the original cover content can be perfectly restored after extraction of the hidden message. Various skills have been introduced into the typical reversible data hiding approaches to improve the performance. Encryption is an effective and popular means of privacy protection. In order to securely share a secret image with other person, a content owner may encrypt the image before transmission and decrypt at the receiver end. This paper intends to give thorough understanding and evolution of different existing data hiding algorithm for encrypted images. It covers and integrates recent research work.
DCT, steganography, image encryption , image recovery, reversible data hiding.
. J. Tian, "Reversible data embedding using a difference expansion," IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 8, pp. 890–896, Aug. 2003.
. Z. Ni,Y.-Q. Shi,N. Ansari, andW. Su, "Reversible data hiding," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 3, pp. 354–362, 2006.
. M. U. Celik, G. Sharma, A. M. Tekalp, and E. Saber, "Lossless generalized-LSB data embedding," IEEE Trans. Image Process., vol. 14,no. 2, pp. 253–266, Feb. 2005.
. L. Luo, Z. Chen, M. Chen, X. Zeng, and Z. Xiong, "Reversible imagewatermarking using interpolation technique," IEEE Trans. Inf. Forensics Secur., vol. 5, no. 1, pp. 187–193, 2010.
. W. Hong, T.-S. Chen, Y.-P. Chang, and C.-W. Shiu, "A high capacity reversible data hiding scheme using orthogonal projection and prediction errormodification," Signal Process., vol. 90, pp. 2911–2922, 2010....
Mukesh Vavdhara, Jandel S Yadav, Imtiyaz Khan
|Establishment of Quality Parameters in Steel Rolling Industry Using Quality Function Deployment|
This work presents a proposal for a conceptual model of QFD application aiming to establish the quality parameters in steel rolling industry. To develop this model, the following stages were carried out: literature review to identify information about QFD use, analysis of data collected in a field research and review of data from previous interviews with QFD users. Quality function deployment is a useful customer oriented product development process that uses a series of structured management processes to translate the customer needs into various stages of product planning, design, engineering, and manufacturing. The proposed method is aimed at expanding the current research scope from the product planning phase to the part deployment phase to provide product developers with more valuable information. Both customer requirements and the company's production demands will be used as the inputs for the QFD process to enhance the completeness and accuracy of the QFD analysis results. The purpose of this paper is to show practitioners and researchers how this process can be used as a planning process to link customer needs and product quality characteristics with attributes, production characteristics and measurable controls, that can reveal and trace the level of satisfaction of customer needs in the steel rolling industry. A case study is presented to illustrate the application of the proposed method.
Quality Function Deployment, Product Design, Quality Control, Steel Rolling, House of Quality.
. S. Tkaczyk, M. Dudek, Quality continuous improvement of production process in aspect of usage quality researches and estimation methods, Proceedings of the 11th Scientific International Conference "Achievements in Mechanical and Materials Engineering", AMME'2002, Gliwice – Zakopane, 2002, 567-570.
. M. Dudek-Burlikowska, D. Szewieczek, Quality estimation methods used in product life cycle, Journal of Achievements in Materials and Manufacturing Engineering 24/2 (2007) 203-206.
. Urban, G., Design and Marketing of New Products, Prentice-Hall, Englewood Cliffs, NJ,1980.
. Day, G. Ronald (2002), Quality function deployment "Linking a company with its customers", third eddition, Tata McGraw-Hill,p. 01-131
. Akao Yoji. Introduction to Quality Deployment (Application Manual of Quality Function Deployment (1), (Japanese) JUSE Press, 1990......
Ms. Shweta Srivastava, Ms. Nikita Joshi, Ms. Madhvi Gaur
|A Review Paper on Feature Selection Methodologies and Their Applications|
Feature selection is the process of eliminating features from the data set that are irrelevant with respect to the task to be performed. Feature selection is important for many reasons such as simplification, performance, computational efficiency and feature interpretability. It can be applied to both supervised and unsupervised learning methodologies. Such techniques are able in improving the efficiency of various machine learning algorithms and that of training as well. Feature selection speed up the run time of learning, improves data quality and data understanding.
Feature Selection, Supervised, Search strategies, Unsupervised.
. Anirban Dasgupta,Petros Drineas, Boulos Harb, Vanja Josifovski, Michael W. Mahoney; "Feature Selection Methods for Text Classification",KDD- ACM.,2007.
. Shyamala Doraisamy, Shahram Golzari, Noris Mohd. Norowi, Md. Nasir B Sulaiman, Nur Izura Udzir; " A Study on Feature Selection and Classification Techniques for Automatic Genre Classification of Traditional Malay Music" Proceedings of ISMIR, 2008. . Gianluca Bontempi, Benjamin Haibe-Kains; "Feature selection methods for mining bioinformatics data",
. Luis Talavera; "An evaluation of filter and wrapper methods for feature selection in categorical clustering", Proceedings of the 6th international conference on Advances in Intelligent Data Analysis, 2005.
. Yvan Saeys, Inaki Inza, Pedro Larranaga; "A review of feature selection techniques in bioinformatics", Oxford Journals, 2007.....