Informatics Publishing Limited

Mamta Juneja ¹, Rajni Mohana ¹

Affiliations
1 Department of Computer Sciences, Rayat and Bahra Institute of Engineering and Bio-Technology, Punjab, IN

Abstract

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.

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Rajni Mohana ¹, Mamta Juneja ¹

Affiliations
1 Rbiebt, Kharar, Punjab, IN

Abstract

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.

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Ravinder Kaur ¹, Mamta Juneja ¹

Affiliations
1 Department of Computer Science and Engineering, University Institute of Engineering and Technology, Punjab University, Chandigarh – 160014, IN

Abstract

Objectives: Renal cancer is among the ten most common forms of cancer and in this article we explored and compared the abilities of different renal imaging modalities in the diagnosis of renal carcinoma. Methods/Statistical Analysis: The visual appearance of various abnormalities have been observed and analyzed on different imaging modalities as different kinds of tumors appears differently in images. Findings: In this study, the capabilities of the various renal imaging modalities have been discussed which are presently used in clinical setups. It can be observed from analysis and discussion that no solitary technique is fully worthwhile in all areas of controlling renal cancer. Hence, research is constantly going on to upgrade the existing modalities and develop new imaging techniques based on the chemical, physical and biological characteristics of malignant tissue that distinguishes it from normal benign tissues. At present, innovations in modality development are headed to imaging at the molecular level which helps to understand the growth of cancer that in turn will suggest us to find the possible cure for this disease. Application/Improvements: This can help the beginners to understand which modality should be preferred for diagnosis of different kinds of diseases as different imaging technique is used to visualize distinct abnormalities

Keywords

Computed Tomography, Magnetic Resonance Imaging (MRI), Nuclear Medicine, Renal Carcinoma, Ultrasonography.

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Gaurav Garg ¹, Mamta Juneja ¹

Affiliations
1 UIET, Panjab University, Chandigarh - 160014, Punjab, IN

Abstract

Objectives: Prostate cancer (CaP) is the second utmost diagnosed cancer among aged men all over the world. CaP contributes as a main health issue for men, posing a challenge to oncologists, urologists, and radiologists for diagnosis purpose. Methods: There are several ways to delineate the prostate capsule using different imaging modalities, which act as one of the vital step for development of Computer Aided Diagnosis (CAD) system. Findings: In order to assist novice researchers for CaP diagnosis, this paper presents the general working theme of CAD system and highlights the different classes of existing prostate segmentation techniques. In order to study different cancerous or non-cancerous anatomical views of CaP in different modalities, the key role of this paper is to fill the gap between the actual CaP view and beginner perception about CaP Region of Interest (ROI). Application/Improvement: Various research gaps that are current open challenges for competent and effective development of Computer Aided Diagnosis (CAD) system for CaP are also a part of this paper.

Keywords

Cancer, CAD, Diagnosis, Modality, Prostate.

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