Time filter

Source Type

Shashidharan S.,Macquarie University | Johny J.,TocH Institute of Science and Technology
International Conference on Electrical, Electronics, Signals, Communication and Optimization, EESCO 2015 | Year: 2015

This paper presents the transmission of microwave & Quadrature Amplitude Modulated (QAM) signals in a Radio Over Fiber (ROF) system at a wavelength of 1550nm with a transmission rate of 16 Mb/s. The ROF system is characterised by having a fiber optic link and also a free-space radio path. The fiber wireless system network consist of a central station, a remote access unit and an optical fiber link. Here in this system external modulators technique that is an electroabsorption modulator (EAM) is used. The simulation is done using MATLAB. © 2015 IEEE.

Meera V.,TocH Institute of Science and Technology | Isaac M.M.,Center for Development of Advanced Computing of India | Balan C.,Center for Development of Advanced Computing of India
Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013 | Year: 2013

Virtual Forensics is a new trend in the area of computer forensics. Virtualization technology paved the way for the growth of virtual forensics. VMware virtual environment provides a completely virtualized set of hardware to the guest operating system. The features of Virtual Machine make it an interesting platform to commit cyber crimes. The combination of innovative criminal techniques and advanced technologies makes the traditional techniques out-dated for detecting such crimes. This paper discusses how live acquisition can be performed to acquire virtual machine related files from the host operating system. The paper also describes how to analyze these acquired files to obtain raw data stored in various grains. The study is supported by methods that assist forensic examiners by providing valuable information from the raw data which is retrieved from various grains pointed by grain table entries. © 2013 IEEE.

Priya S.,Government Model Engineering College | Paul V.,TocH Institute of Science and Technology
2011 - International Conference on Signal Processing, Communication, Computing and Networking Technologies, ICSCCN-2011 | Year: 2011

This paper presents a novel approach to the fast detection and extraction of fabric defects from the images of textile fabric. Automated visual inspection systems are much needed in the textile industry, especially when the quality control of products in textile industry is a significant problem. In the manual fault detection systems with trained inspectors, very less percentage of the defects are being detected while a real time automatic system can increase this to a maximum number. Thus, automated visual inspection systems play a great role in assessing the quality of textile fabrics. For the detection of fabric defects, we first decompose the image into its bit planes. The lower order bit planes are found to carry important information of the location and shape of defects. Then we find the exact location by means of mathematical morphology. The algorithm has been tested on a subset of TILDA1 image database with various visual qualities. Robustness with respect to the changes of the parameters of the algorithm has been evaluated. © 2011 IEEE.

Paul V.,TocH Institute of Science and Technology
International Journal of Applied Engineering Research | Year: 2016

The richness of web content has also made it progressively more difficult to leverage the value of information. Identifying users’ topic of interest, recommending content to a user based on past behavior without major restructuring of the site is a major challenge. Mining knowledge about the usage of a website can be used effectively for user personalization and that can facilitate search information very fast and efficiently. This paper proposes a novel approach to facilitate user navigation without restructuring the site by mining knowledge and by a probabilistic classification. Based on the cluster information a new approach for on ranking the web pages resulting in users’ possible link prediction is done. Segmentation of the log file of groups of users having similar navigation and similar pattern over time is studied. For pattern matching sequential patterns spanning over sessions is selected. In the Prefix Span algorithm which comes in sequential pattern mining a pattern growth method is employed. For better personalization in addition to prefix, a user based scan is performed in our new USP (user span pattern) algorithm. Results from extensive tests conducted on a real data set indicate that our model effectively improves the user navigation with minimal changes. The proposed model is more suitable for websites whose content remain stable overtime such as educational sites and is also suited for artistic, medical and military applications. © Research India Publications.

Shashidharan S.,Macquarie University | Johny J.,TocH Institute of Science and Technology
International Conference on Electrical, Electronics, Signals, Communication and Optimization, EESCO 2015 | Year: 2015

As in all the emerging imaging modalities, THz presents some drawbacks that do not allow it to find its place in every day medical use. These limitations cover a wide range from the low-performance of emitting sources to the low sensitivity or selectivity to pathological tissues. Nanotechnology-based techniques seems to be a crucial key tool in their efforts to improve these imaging modalities. The next sections aim to discuss how current nanotechnology techniques can directly enhance THz medical imaging modalities. It will be demonstrated that nanotechnology can support THz imaging through several concepts, from using nanoparticles as contrast agents to the development of new THz sources and/or detectors. Nanotechnology methods are used in all the components of THz imaging: contrast agents, sources and detectors (CNT: Carbon Nanotubes, QDs: Quantum Dots, NPs: Nanoparticles, NRs: nanorods, NGs: nanocages, WCNTs: multi-walled CNTs). © 2015 IEEE.

Discover hidden collaborations