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Individuals utilize online networking sites like Facebook and Twitter to express their interests, opinions or reviews. The users used English language as their medium for communication in earlier days. Despite the fact that content can be written in Unicode characters now, people find it easier to communicate by mixing two or more languages together or lean toward writing their native language in...
The word ontology refers to the hierarchical structure of entities and their relationships. The entities are nodes and each node is dominated by their parent node in the hierarchical structure. The nodes are related by semantic and lexical relations such as synonymy, homonymy, meronymy, antonymy, etc. Hierarchical structure is created for different types of semantic domains. The top domains are entities,...
Quality of Service (QoS) provisioning is critical and mandatory in any Wireless Body Area Network (WBAN). Routing protocols for this kind of networks need to be very efficient and lightweight algorithms need to be developed as WBANs are wireless interconnection of resource constrained miniaturized sensors either implanted or worn in/on the body. Optimization of Delay QoS parameter is very important...
Improving health care in rural areas is a major concern today. Sleep apnea is a common sleep disorder which often goes undiagnosed and leads to serious problems like stroke, heart attacks etc. Conventional diagnosis of sleep apnea is done by continuous recording of physiological signals for 6 to 7 hrs during sleep and then manually marking the events. This process is expensive and not affordable to...
Paraphrase Detection is the task of examining if two sentences convey the same meaning or not. Here, in this paper, we have chosen a sentence embedding by unsupervised RAE vectors for capturing syntactic as well as semantic information. The RAEs learn features from the nodes of the parse tree and chunk information along with unsupervised word embedding. These learnt features are used for measuring...
The ultimate aim of this research is to develop a Rule Based Machine Translation System (RBMT) using sentence simplification. The sentence pattern for English is SVO and Tamil is SOV. Complex and larger sentence are not easy to parse and translate. So, the sentence simplifier is also accommodated in the rule based system to split a large sentence into simple multiple sentences. Machine translation...
Popular social media sites like Facebook, Twitter, YouTube etc. has become a platform for the user to express their stance towards the target entity. Target entity can be a person, a location, an organization, a new government policy etc. The stance expressed by the user may be favor towards the target entity, against or sometimes neutral. For the first time, we present stance detection system implemented...
In this paper, we explored the development of an anxiety detection (AnD) system using the respiratory signal as its input. Time and frequency domain statistical features derived from breath-to-breath (BB) interval series of respiratory signal is input to a support vector machine (SVM) backend classifier. We used data from normative population, individuals with anxiety disorders and regular meditators...
Development of a highly efficient, nickel-based nano-catalyst in the carbon dioxide reformation of methane is reported. The alumina supported Ni-based catalyst with a metal loading of 5wt% was prepared via solution combustion synthesis (SCS) method and conventional wetness impregnation method. Compared to that of conventional Ni(I) catalyst, the Ni(SCS) catalyst exhibited high activity for methane...
An ultra-low power neural spike sorting technique for implantable, multi-channel neural implant is proposed. It involves spiking neural network (SNN) with binary weights as an energy and area efficient classifier, along with a suitable frontend for spike encoding of the recorded neuro-potential. The proposed scheme employs two step training to implement supervised learning for the classifier, in order...
Feature extraction is the process of mapping input signal to informative representation that can easily be handled by the classifier systems to build decision boundary in between the participating pattern classes. Scattering representation build invariant signal representation by applying a cascade of wavelet decompositions and complex modulus, followed by low-pass filtering. The objective of this...
This paper presents a multiband, metamaterial loaded microstrip patch antenna. Closed C-shaped slot has been used to miniaturize both mushroom type electromagnetic bandgap structures and microstrip antenna. Bandgap of microstrip antenna has been shifted to 5.5 GHz from 6.5 GHz using Closed C slot. This bandgap structure, when used as a substrate of patch antenna, results in multiband operation due...
Recently, Search Based Software Testing (SBST) research has gained much attention in producing the optimal solution for the optimization problem by automating the test data generation for the branch coverage criterion. Particle Swarm Optimization (PSO) has been emerged for obtaining optimal solution for the test data generation problem because of its easy implementation, fast convergence and few parameters...
The objective of this paper is to design a low profile, planar Microstrip patch antenna for triple band applications. The proposed antenna has been designed by etching H-shaped slot radiators on Fr-4 substrate having dielectric constant 4.1 and a defected ground plane. The dimension of the proposed antenna is 15mm × 15mm. It resonates at 2.4 GHz, 3.6GHz and 5.2GHz frequencies with a return loss of...
Early detection of cardiac disorders can help save many lives. Time and frequency domain statistical features derived from RR interval series of electrocardiogram (ECG) signals with a support vector machine (SVM) backend classifier can be used for distinguishing congestive heart failure (CHF) and sudden cardiac death (SCD) patients from the normal sinus rhythm (NSR) patients. We empirically found...
Online social networking sites are a popular medium to exchange information among individuals. For measurement and analysis of social networking sites, we can assume it as a huge graph, where nodes represent users while edges represent links among users. Millions of nodes make the study of social network complex to analyze, so we narrow down by considering ego network rather than considering whole...
Multi-parameter patient monitor (MPM) uses vital signs, heart rate, blood pressure, oxygen saturation (SpO2) and respiration rate to identify the condition of patients. In this work, we use a support vector machine (SVM) backend classifier with four vital signs as its input and experimented using different kernels. It was observed that the SVM with a radial basis function kernel (SVM-RBF) outperforms...
Object oriented software Agent technology is the highest emergent region of computer technology and is still an emerging technology. It is an innovative method of modern applications to design and execute enormous entities determined by viewpoint, objectives, capabilities and strategy, and other organization properties such as alteration, interface, and mobility. These types of software agents can...
In mobile multimedia communication systems, the limited bandwidth is an issue of serious concern. However for the better utilization of available resources in a network, channel allocation scheme plays a very important role to manage the available resources in each cell, hence this issue should be managed to reduce the call blocking or dropping probabilities. In this paper we have proposed the new...
The diverse characteristics of cloud computing like the ease of global network access, virtualization makes it a leader in the market. Along with the ease, the attack surface is a major setback in the security. Cloud forensics is one of the measures to provide a solution to security concerns. It helps in analyzing and investigating the attack. It focuses on gathering relevant evidence to support the...
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