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Kirubakaran, E.
- Preprocessing Technique for Classification of M-Learning Reviews using Soft Computing Approach
Abstract Views :266 |
PDF Views:5
Authors
Affiliations
1 Department of Computer Science, Bharathidasan University Constituent College, Lalgudi, Trichy, IN
2 Bharat Heavy Electrical Ltd.(BHEL), Trichy, IN
1 Department of Computer Science, Bharathidasan University Constituent College, Lalgudi, Trichy, IN
2 Bharat Heavy Electrical Ltd.(BHEL), Trichy, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 5 (2013), Pagination: 199-203Abstract
The development of communication technology has resulted in easy information access via internet. The rapid increase in the use of mobile devices has popularized pedagogical methods like learning through mobile devices, PDAs, etc. Various Mobile Learning (M-Learning) systems are available and the user opinions about them are aired in social blogs or review websites. This research paper investigates Opinion mining classifications particularly of M-Learning system based not only on words but also on the corpus from the reviewed documents. A preprocessing methodology is proposed in this paper to enhance classifications in the dataset under study. The corpus is ranked using SVD through which, the data is prepared for Opinion mining. The classification accuracy is evaluated through Naïve Bayes, Random Forest, k Nearest Neighbor (kNN) data mining algorithms and Learning Vector Quantization (LVQ), Elman Neural Network, Feed Forward Neural Network (FFNN) algorithms with the preprocessed dataset.Keywords
Classification Accuracy, Machine Learning, M-Learning, Opinion Mining, Preprocessing.- FPGA Based Hardware Key for Temporal Encryption
Abstract Views :300 |
PDF Views:0
Authors
Affiliations
1 Jayaram College of Engineering and Technology, Tiruchirappalli, IN
2 Bharat Heavy Electricals Ltd, Tiruchirappalli, IN
3 Saranathan College of Engineering, Tiruchirappalli, IN
1 Jayaram College of Engineering and Technology, Tiruchirappalli, IN
2 Bharat Heavy Electricals Ltd, Tiruchirappalli, IN
3 Saranathan College of Engineering, Tiruchirappalli, IN
Source
ICTACT Journal on Communication Technology, Vol 1, No 3 (2010), Pagination: 150-156Abstract
In this paper, a novel encryption scheme with time based key technique on an FPGA is presented. Time based key technique ensures right key to be entered at right time and hence, vulnerability of encryption through brute force attack is eliminated. Presently available encryption systems, suffer from Brute force attack and in such a case, the time taken for breaking a code depends on the system used for cryptanalysis. The proposed scheme provides an effective method in which the time is taken as the second dimension of the key so that the same system can defend against brute force attack more vigorously. In the proposed scheme, the key is rotated continuously and four bits are drawn from the key with their concatenated value representing the delay the system has to wait. This forms the time based key concept. Also the key based function selection from a pool of functions enhances the confusion and diffusion to defend against linear and differential attacks while the time factor inclusion makes the brute force attack nearly impossible. In the proposed scheme, the key scheduler is implemented on FPGA that generates the right key at right time intervals which is then connected to a NIOS - II processor (a virtual microcontroller which is brought out from Altera FPGA) that communicates with the keys to the personal computer through JTAG (Joint Test Action Group) communication and the computer is used to perform encryption (or decryption). In this case the FPGA serves as hardware key (dongle) for data encryption (or decryption).Keywords
Encryption, Decryption, Real Time Systems, Time Based Key, Brute Force Attack, Cryptanalysis, FPGA.- A Service Oriented Architecture for Weather Forecasting Using Data Mining
Abstract Views :211 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Applications, Karunya University, IN
2 Bharat Heavy Electricals Limited, Tiruchirapalli, IN
3 NIIT, Coimbatore, IN
1 Department of Computer Applications, Karunya University, IN
2 Bharat Heavy Electricals Limited, Tiruchirapalli, IN
3 NIIT, Coimbatore, IN