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Mohana, Rajni
- Image Segmentation Based Steganography Model with Increased Security for Information Transmission
Authors
1 Department of Computer Sciences, Rayat and Bahra Institute of Engineering and Bio-Technology, Punjab, IN
Source
Digital Image Processing, Vol 1, No 6 (2009), Pagination: 221-225Abstract
Steganography is a process that involves hiding a message in an appropriate carrier like image or audio. It is of Greek origin and means "covered or hidden writing". The carrier can be sent to a receiver without any one except the authenticated receiver only knows existence of the information. Steganography is an emerging area which is used for secured data transmission over any public media. Considerable amount of work has been carried out by different researchers on steganography. In this paper, a specific image based steganography technique for communicating information more securely between two locations is proposed. The author incorporated the idea of secret key and password security features for authentication at both ends in order to achieve high level of security. As a further improvement of security level, the information has been permuted, encoded and then finally embedded on an image to form the stego image. Besides this segmented objects extraction and reassembly of the stego image through normalized cut method has been carried out at the sender side and receiver side respectively in order to prevent distortion of the Stego image during transmission.
Keywords
Steganography, Cover Image, Stego Image, Normalized Cut.
- Automatic Generation of Fuzzy Rules for Fuzzy Databases Using Particle Swarm Optimization
Authors
1 Rbiebt, Kharar, Punjab, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 1, No 8 (2009), Pagination: 248-251Abstract
This paper focuses on building a rule based model for a fuzzy database using particle swarm optimization and fuzzy clustering. Traditional databases handle data, which is crisp, deterministic and precise in nature. However our reasoning and decision-making process is uncertain and vague in nature. This paper gives an insight into the world of uncertainty. Using fuzzy rules techniques to enhance this decision making process. The proposed methodology, involves of building a fuzzy set rules on top of a relational database to automatically generate series of fuzzy tables.Keywords
Fuzzy Expert System, Fuzzy Database, Fuzzy Clustering, Fuzzy Rule Based Mode, Particle Swarm Optimization.- Anaphora Resolution in Hindi: Issues and Directions
Authors
1 Jaypee University of Information Technology, Waknaghat, P.O. Waknaghat, Teh Kandaghat, Distt Solan - 173 234, Himachal Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 32 (2016), Pagination:Abstract
Natural language processing is way of understanding the human languages by machine which involves the field of computer science and artificial intelligence. The basic aim of NLP is to develop such software that will analyze, understand and generate human languages. It has many challenges anaphora is one of them. Anaphora is considered as the problem of referring pronoun phrase to noun phrase within the sentence or between the sentences. Anaphora resolution is required in various NLP applications. Lot of work has been done in English but less work has been done in Hindi. Anaphora Resolution in Hindi is a complex task because Hindi is independent word order language. Pronouns in Hindi show a great deal of dubiety. This paper presents the various approaches to resolve various issues of anaphora resolution in Hindi. The paper also presents research gaps and direction for future researchers.Keywords
5-6 words, Drawn from title, Word representing the work.Full Text
