Informatics Publishing Limited

J. Adline Vidhya ¹, P. Karpagam ¹, C. Chifla ²

Affiliations
1 Department of Electronics and Communications, Vickram College of Engineering, Madurai, IN
2 Department of Electronics and Communications, Vickram College of Engineering, Madurai, IN

Abstract

This paper aims to present the methodology for measuring an ECG signal of a patient using GSM network and very large scale integration technique. ECG signals are generated artificially using a MATLAB code and the Additive White Gaussian Noise is added to an original ECG signal. The original signal and the signal with noise are compared and the noise from the signal are eliminated using the MATLAB. Then the signal will be converted into a digital form using VERILOG and then downloaded into a FPGA kit. The ECG monitoring system is then interfaced with GSM network.

Keywords

ECG Monitoring System, GSM Network, MATLAB and VERILOG.

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P. Karpagam ¹, S. Sivasubramanian ²

Affiliations
1 Department of Computer Science and Engineering, Bharath University, Chennai - 600073, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Dhanalakshmi College Engineering, Manimangalam - 601301, Tamil Nadu, IN

Abstract

Objective: Computing semantic similarity is a significant objective in Information Retrieval (IR) due to the emerging web searching process and the demand of fast and efficient result provisioning. Methods: Exploiting static lexical resources leads most of the conventional semantic similarity measurement techniques to ignore temporal aspects of concepts. Later, to resolve the temporal constraint, the research works exploit independent sources like Newspaper articles, television documentaries, and books. However, these methods meet the data-sparsity problem, since the independent sources are too restrictive and exclude articles that are worthy of notice. Findings: In order to provide the precise result for recent trend concepts, this paper utilizes the social media as the robust and dynamic source, often reflect public opinion. This work introduces an ideNtifying nEw concept Evolution thRough semantIC Social media temPoral analYsis (NEOTERICSPY) model incorporating two phases, namely semantic relatedness measurement in a time series and examining temporal fluctuations between time series. Initially, the NEOTERIC-SPY measures the semantic relatedness of a word-pair using normalized distance measurement in a time series and facilitates the identification of temporal fluctuations. It reduces the word-pair list of a concept among the overall possible word-pairs and provides a good trade-off between the execution time and accuracy. Secondly, it identifies the new concepts using temporal correlation analysis of the semantic similarity measurement between the time series. It employs the weighing function of the temporal dynamics to find the recent changes than the ancient changes of the concepts. The experimental results show that the NEOTERIC-SPY approach significantly outperforms the conventional method and illustrates the consistent improvements of its performance. Application/ Improvements: The NEOTERIC-SPY leads the IR system to provide the desired information to the users in a short-time period, ensuring the precise result pertaining to the recent concept.

Keywords

Semantic Similarity, Social Media, Temporal.

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P. Karpagam ¹, G. Manonmani ², D. Brindha ³

Affiliations
1 Department of Costume Design and Fashion, PSG College of Arts and Science, Coimbatore, IN
2 Department of Home Science, Mother Teresa Women’s University, Coimbatore, IN
3 Department of Biochemistry, PSG College of Arts and Science, Coimbatore, IN

Abstract

Terminalia bellerica, Withania somnifera, Madhuca longifolia and Sygyzium cumini was selected for the current study based on its potent antimicrobial activity. The poly herbal plant extract was tested against nine clinical bacterial strains that are responsible for the wound infections. The FTIR and GCMS studies of the poly herbal plant extract revealed the presence of functional groups such as phenols, alcohol, amines, carbonyl group and components responsible for antimicrobial properties respectively. The phytochemical analysis showed the presence of bioactive principles such as alkaloids, flavanoids, phenols, steroids and tannins. The poly herbal extract was then coated on the Tencel^R nonwoven fabric using pad-dry-cure method. The antimicrobial efficacy of the coated fabrics exhibited better inhibitory activity against all the test organisms under the standard AATCC 147. The coated fabric also showed 8 mm zone of inhibition against Candida albicans. The results recommend the use of poly herbal plant extract can potentially be used as a substitute to synthetic agents. Also, it can be employed in non-implantable medical textiles such as wound dressings to prevent the microbial infestation and also to reduce the bio burden in wound therapy.

Keywords

Antibacterial Susceptibility, Non-Implantable, Nonwoven, Wound Dressing, Wound Infections.

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R. Saravanan ¹, T. Sakthivel ², P. Karpagam ³, K. Gunasekaran ⁴

Affiliations
1 Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, IN
2 Firstsoft Technologies Private Limited, Chennai, Tamil Nadu, IN
3 Department of Computer Science, Ponnusamy Nadar College of Arts and Science, Thozhuvur, Thiruvallur, Tamil Nadu, IN
4 Department of Computer Science Engineering, Panimalar Engineering College, Chennai, Tamil Nadu, IN

Abstract

Internet of Underwater Things (IoUT) is emerging as a powerful technology to explore underwater things. Reliable communication between underwater things is a significant challenge compared to communication at the surface, notably the unique characteristics imposed by the underwater environment, such as water currents, noisy scenarios, and limited resources. Several routing protocols have been suggested to overcome the challenges in IoUT. The previous works mainly focus either on improving the reliability or energy efficiency of the routing process. Concentrating on both parameters makes the routing process too complex with substantial overhead. Routing techniques face challenges in solving the noise and water current issues in the IoUT environment. The proposed work utilizes the potential of the Routing Protocol for Low Power and Lossy Networks (RPL) on IoUT communication by enhancing its Objective Function (OF) to resolve the routing in the underwater environment. The proposed Underwater Adaptive RPL (UA- RPL) turns the inefficient DODAG construction into an efficient under noisy environment by extending DIO message features. Numerous neighboring nodes receive the extended DIO message, and the nodes that fit into the safety zone are decided according to the multiple routing metrics, such as hop count, ETX, and Energy factor. Entire network traffic is partitioned through multiple parent nodes with the best rank values and attains an energy-balancing routing over underwater things. It helps to improve the network lifetime without compromising communication reliability. The proposed work is evaluated to show its advantages over the underwater environment. The simulation results show that the UA-RPL delivers high performance when varying the underwater things from 15 to 60. Moreover, it outperforms the existing schemes under the IoUT environment.

Keywords

Routing Protocol, Internet of Underwater Things, Noisy Environment, Water Current, Reliability, Energy Efficiency, RPL

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