Nivit Gill - Profile on Academia.edu (original) (raw)

Papers by Nivit Gill

The epilepsy is serious neurological disorder which disturb the common activities of person with... more The epilepsy is serious neurological disorder which disturb the common activities of person with recurret seizures. The electroencephalogram (EEG) signal is used to analyze for the detection of epilepsy seizure. This paper presents new spike based feature as it is one of main characteristics of epilepsy prone EEG. The IMFs (Intrinsic Mode Decomposition) of the EEG is calculated by employing EMD (Empirical Mode Decomposition) and first five IMFs are used in proposed study. Since the presence of spikes increases the amplitude of signal, maximum value of each IMF is used as feature to train the classifier. The classification of EEG signal into seizure or no-seizure is done by using ANN (Artificial neural networks). The results of the each IMF is recorded individually and concluded the third IMF shows the best presence of spikes. The results of proposed method is also compare with other existing techniques for the validation.

International Journal of Computer Applications, 2013

Intrusion is a fast growing security threat to the computers which fails the security of the syst... more Intrusion is a fast growing security threat to the computers which fails the security of the system. The researchers have proposed number of techniques such as firewall, encryption etc. to prevent such penetration and protect the systems. With all these measures also, the intruders managed to penetrate the computers. Intrusion detection systems (IDS) monitor the resources of the computer, detect the malicious/suspicious activity either on a single machine or on the network which is different from the legitimate user activity and send the reports of such activity. The paper proposes to detect anomalous user behavior on a single machine based on the system log files using fuzzy logic and genetic algorithms.

International Journal of Computer Applications, 2012

In recent years, usage of Mobile Ad-hoc Networks (MANETs) for communication has grown at a faster... more In recent years, usage of Mobile Ad-hoc Networks (MANETs) for communication has grown at a faster rate due to its ease of implementation and flexibility. Also,transmission of multimedia contents over Internet isone of the most widely used technologies being used globally. According to the ongoing trends in technology, most of the contents (data) sent over the Internet are interactive multimedia contents, which prefer to be delivered in error-state than being discarded or arriving late.To avoid network congestion, it is preferred to transmit the data without any overhead of prior connection establishment. A solution to both the problems is to use UDP as transport protocol, which provide no reliability and have low protocol processing overhead. An enhanced version of UDP, called UDP-Lite was also introduced a decade ago, which has been specifically designed for real-time multimedia applications. The aim of this paper is to compare the performances of UDP and UDP-Lite by changing various network parametersfor transmitting various video codecs.

Computational Disease Gene Prioritization: An Appraisal

Journal of Computational Biology, 2014

Bioinformatics aids in the understanding of the biological processes of living beings and the gen... more Bioinformatics aids in the understanding of the biological processes of living beings and the genetic architecture of human diseases. The discovery of disease-related genes improves the diagnosis and therapy design for the disease. To save the cost and time involved in the experimental verification of the candidate genes, computational methods are employed for ranking the genes according to their likelihood of being associated with the disease. Only top-ranked genes are then verified experimentally. A variety of methods have been conceived by the researchers for the prioritization of the disease candidate genes, which differ in the data source being used or the scoring function used for ranking the genes. A review of various aspects of computational disease gene prioritization and its research issues is presented in this article. The aspects covered are gene prioritization process, data sources used, types of prioritization methods, and performance assessment methods. This article provides a brief overview and acts as a quick guide for disease gene prioritization.

IJCSET BOARD MEMBERS, Jan 1, 2011

ijser.org

Sequence alignment is the most basic and essential module of computational bio-informatics. In th... more Sequence alignment is the most basic and essential module of computational bio-informatics. In this paper, we propose a multiple sequence alignment algorithm that employs fuzzy logic to measure the similarity of sequences based on fuzzy parameters. To guarantee the optimal alignment of the sequences, dynamic programming is used to align the sequences. The algorithm is tested on few sets of real biological sequences taken from NCBI bank and its performance is evaluated using SinicView tool.

International Journal

Multiple sequence alignment is the most fundamental and essential task of computational biology, ... more Multiple sequence alignment is the most fundamental and essential task of computational biology, and forms the base for other tasks of bioinformatics. In this paper, two different approaches to sequence alignment have been discussed and compared. The first method employs Boolean algebra which is a two-valued logic whereas the second is based on Fuzzy logic which is a multi-valued logic. Both the methods perform sequence matching by direct comparison method using the operations of Boolean algebra and fuzzy logic respectively. To ensure the optimal alignment, dynamic programming is employed to align multiple sequences progressively. Both the methods are implemented and then tested on various sets of real genome sequences taken from NCBI bank. The processing time for both the methods on these data sets have been computed and compared.

International Journal of Computer …, Jan 1, 2011

Biological sequence alignment is one of the crucial tasks of computational bioinformatics, and pr... more Biological sequence alignment is one of the crucial tasks of computational bioinformatics, and provides base for other tasks of bioinformatics. In this paper, we discuss two different approaches to sequence matching -Boolean algebra and fuzzy logic. First method is a two-valued logic whereas the second is a multi-valued logic. Both the methods perform sequence matching by direct comparison method using the operations of Boolean algebra and fuzzy logic respectively. To ensure the optimal alignment, dynamic programming is employed to align the sequences progressively. Both the methods are implemented and then tested on few sets of real biological sequences taken from NCBI bank and their performances are compared with the CLUSTALW algorithm.