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Opis: The paper proposes a novel approach to bring out the potential of complex networks based on graph theory to unwrap the hidden characteristics of cough signals, croup (BC), and pertussis (PS). The spectral and complex network analyses of 48 cough sounds are utilized for understanding the airflow through the infected respiratory tract. Among the different phases of the cough sound time-domain signals of BC and PS – expulsive (X), intermediate (I), and voiced (V) - the phase ‘I’ is noisy in BC due to improper glottal functioning. The spectral analyses reveal high-frequency components in both cough signals with an additional high-intense low-frequency spread in BC. The complex network features created by the correlation mapping approach, like number of edges (E), graph density (G), transitivity (), degree centrality (D), average path length (L), and number of components () distinguishes BC and PS. The higher values of E, G, and for BC indicate its musical nature through the strong correlation between the signal segments and the presence of high-intense low-frequency components in BC, unlike that in PS. The values of D, L, and discriminate BC and PS in terms of the strength of the correlation between the nodes within them. The linear discriminant analysis (LDA) and quadratic support vector machine (QSVM) classifies BC and PS, with greater accuracy of 94.11% for LDA. The proposed work opens up the potentiality of employing complex networks for cough sound analysis, which is vital in the current scenario of COVID-19.
Ključne besede: Complex network analysis, Auscultation, Croup cough, Pertussis Spectral analysis, Machine learning techniques
Objavljeno v RUNG: 30.06.2022; Ogledov: 1306; Prenosov: 0
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Opis: With the rising digital medium, the various digital applications are rising too. These applications can work in the private domain or public domain depending upon the environment and features. Of late, the public infrastructure in India is improving and thus digitisation of the services and processes are making it better for the government to function. Lots of new services and applications are planned through desktop-and mobile-based information systems. But any information system requires a good security cover for it to function correctly and efficiently. One such new system was proposed for integrating the various utility systems in Delhi, NCR, for which various security checkpoints are discussed in this paper. These are related to database security, network security, cryptography, and the user authentication process. These checkpoints will be helpful in making the newly proposed information system more secure and will also be helpful in analysing the need and scope of new security features in it. Security concerns are analysed at different levels of the information system and suggestions are made for the system which can be implemented in the currently proposed system. These suggestions can also be used in other similar systems as well as for improving and enhancing security at various levels.
Ključne besede: information systems, integrated utility system, database security, network security, data security, information system security, e-governance
Objavljeno v RUNG: 15.07.2021; Ogledov: 2014; Prenosov: 10
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Opis: The problem of attacks on various networks and information systems is increasing. And with systems working in public domain like those involved under E-Governance are facing more problems than others. So there is a need to work on either designing an altogether different intrusion detection system or improvement of the existing schemes with better optimization techniques and easy experimental setup. The current study discusses the design of an Intrusion Detection Scheme based on traditional clustering schemes like K-Means and Fuzzy C-Means along with Meta-heuristic scheme like Particle Swarm Optimization. The experimental setup includes comparative analysis of these schemes based on a different metric called Classification Ratio and traditional metric like Detection Rate. The experiment is conducted on a regular Kyoto Data Set used by many researchers in past, however the features extracted from this data are selected based on their relevance to the E-Governance system. The results shows a better and higher classification ratio for the Fuzzy based clustering in conjunction with meta-heuristic schemes. The development and simulations are carried out using MATLAB.
Ključne besede: particle swarm optimization, intrusion detection, anomaly detection, intrusion detection system, network intrusion detection
Objavljeno v RUNG: 02.04.2021; Ogledov: 2015; Prenosov: 9
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Opis: Besides being a fundamental infrastructure for communication, cellular networks are increasingly exploited for positioning via signal fingerprinting. Here, we focus on cellular signal fingerprinting, where an accurate and comprehensive knowledge of the network is fundamental. We propose an original multilevel database for cellular networks, which can be automatically updated with new fingerprint measurements and makes it possible to execute a number of meaningful analyses. In particular, it allows one to monitor the distribution of cellular networks over countries, to determine the density of cells in different areas, and to detect inconsistencies in fingerprint observations.
Ključne besede: Cellular network, Signal fingerprinting, Multilevel database, Data analysis
Objavljeno v RUNG: 17.09.2019; Ogledov: 3330; Prenosov: 0
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Ključne besede: CEEPUS, network, vision, curriculum, development
Objavljeno v RUNG: 10.04.2017; Ogledov: 4081; Prenosov: 0
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