iosr-JCE   Volume-8 ~ Issue-6

Abstract:The emerging global competition and increasing costs are a great challenge to industries. New cost effective training methods are explored to cope with this demand. In-depth knowledge of the functions in a factory is of vital importance for greater safety and better efficiency. Desktop and web-based e-learning applications offer industrialists new tools to raise maintenance-related knowledge and competence. Simulated learning through virtual 3D animations let employees comprehend the internal mechanisms of the equipment and the co-relation between the different parts. The evolution of Web technologies in recent years has enabled the use of Virtual Reality (VR) modelling for visualization of manufacturing processes creating a Virtual Environment (VE). The VR modelling language (VRML), which has become the standard for transmitting 3D virtual worlds across the Internet, can be used to control, interact and monitor manufacturing processes visually thus imparting training from a desktop computer. This paper deals with the simulation of the production of steel beams and columns presented to the subcontractors from a parent company.
Keywords: 3D animations, interactivity, Simulated Learning, Virtual Environment,VRML

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Abstract:Text mining, sometimes alternately referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text mining is the discovery of interesting knowledge in text documents. Many data mining techniques have been proposed for mining useful patterns in text documents. It is a challenging issue to find accurate knowledge (or features) in text documents to help users to find what they want. In existing, Information Retrieval (IR) provided many term-based methods to solve this challenge. The term-based methods suffer from the problems of polysemy and synonymy. The polysemy means a word has multiple meanings, and synonymy is multiple words having the same meaning. In proposed to use pattern (or phrase)-based approaches should perform better than the term-based ones. The proposed approach can improve the accuracy of evaluating term weights because discovered patterns are more specific than whole documents.
Keywords: Text mining, text classification, pattern mining, pattern evolving, information filtering.

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Abstract:We propose a steganography technique which embeds the secret messages in frequency domain. Unlike the space domain approaches, secret messages are embedded in the high frequency coefficients resulted from Discrete Wavelet Transform. A cryptography algorithm is used to convert the secret messages to an unreadable form before embedding. These algorithms keep the messages from stealing, destroying from unintended users on the internet and hence provide satisfactory security. Blowfish algorithm is used for encryption and decryption of text message using a secret-key block cipher. Blowfish is an evolutionary improvement over DES, 3DES, etc designed to increase security and to improve performance. This algorithm uses a variable key size up to 448 bits.
Keywords: Steganography, security, information hiding cryptography, wavelet transform.

[1] "A Multilayered Secure, Robust and High Capacity Image Steganographic Algorithm" World of Computer Science and Information
Technology Journal (WCSIT) ISSN: 2221-0741 Vol. 1, No. 6, 239-246, 2011
[2] Image encryption and decryption using blowfish algorithm World Journal of Science and Technology 2012, 2(3):151-156 ISSN:
2231 – 2587
[3] A DWT Based Approach for Image Steganography International Journal of Applied Science and Engineering 2006. 4, 3:275-290
[4] Applied Mathematical Sciences, Vol. 6, 2012, no. 79, 3907 - 3915A "New Method in image Steganography with Improved Image
Quality".
[5] World Applied Sciences Journal 13 (3): 507-516, 2011 ISSN 1818-4952 " Improvement of Embedding Capacity and Quality of
DWT-Based Audio Steganography Systems"