submit Opinions CrossRef Open Access Subscribe New Journal Ideal

Click on image to enlarge

Indexed in Scopus

Journal of ICT Standardization

Editor-in-Chief: Anand R. Prasad, wenovator, Japan

Associate Editor: Sivabalan Arumugam, Rakuten Mobile Inc, Japan


ISSN: 2245-800X (Print Version),

ISSN: 2246-0853 (Online Version)
Vol: 5   Issue: 2

Published In:   November 2017

Publication Frequency: Triannual


Search Available Volume and Issue for Journal of ICT Standardization


Journal Description        Editorial Foreword        Read Full Articles        Editorial Board        Subscription        Indexed       Opinions

Energy Efficient Data Gathering by Using Optimum Pattern Recognition with Relocalization in Mobile Wireless Sensor Networks

doi: https://doi.org/10.13052/jicts2245-800X.521
S. Sivasakthiselvan1 and V. Nagarajan2

Research Scholar1, Professor & Head2
Department of Electronics and Communication Engineering, Adhiparasakthi Engineering College, Melmaruvathur 603319, Tamil Nadu, India

Abstract: [+]    |    Download File [ 1805KB ]    |   Read Article Online

Abstract: The Efficient Localization and Data Gathering in Mobile wireless sensor networks (MWSNs) is considered as an evolving technology for many system applications like military surveillance, health monitoring and reporting to ambulance team, tracking the animal migration patterns, etc.,. The wireless sensor nodes with the ability to report the location information and sensory data. Therefore, there have been a numerous significances on localization and Energy Efficient data gathering in MWSNs in the past few years. In this paper, our proposed system Energy Efficient Data Gathering Pattern (EEDGP) is performs in two phases. In the first phase the recognition of pattern is done by K-Means technique. The K-Mean clustering is simple and understandable algorithm based on the attributes and it is used to generate the specific number of disjoint clusters. Also the maximum distance which travels by the node and velocity of the node is estimated by Hop count measurement Markov Decision Process (MDR) is proposed to check the inaccuracy of localization. In the second phase global relocalization is carried out based on the result of the local relocalization and it performs global time synchronization for data gathering from the Mobile Agent (MA) in the network. We compared our proposed algorithm with other approaches in Network lifetime, Energy consumption, Packet delivery ratio, and Time Complexity. The simulation results proved the effectiveness of the proposed algorithm over similar methods.

Keywords: Mobile Wireless Sensor Networks, Efficient Data Gathering System (EDGS), Local Relocalization & Global Relocalization, Time Bound Essential Localization (TBEL), Hop-Distance Estimation and Backoff-Based Message Broadcast.

Patukattal – Advanced Indigenous Refrigeration System

doi: https://doi.org/10.13052/jicts2245-800X.522
Pranjal Dey1, V. Vijaya Baskar2 and Karry Harsh3

1,3Dept. of ETCE, Sathyabama Institute of Science and Technology, Chennai, India
2Professor, Dept. of ETCE, Sathyabama Institute of Science and Technology, Chennai, India

Abstract: [+]    |    Download File [ 1925KB ]    |   Read Article Online

Abstract: Refrigerator is a common house hold appliance that operates by reducing and maintaining the temperature of a space below the temperature of the surroundings. Refrigerators utilize harmful gases like Chlorofluorocarbons (CFCs) which depletes the Ozone layer along due to release of HFCs and HCFCs that contribute to the global warming potential as compared to water vapor which is natures unbiased greenhouse cloak. Secondly refrigerators run on electricity which is mostly produced by thermal power generation unit which produces the notorious gases like CO2 & CO gases thereby increasing carbon footprint & contribute to global warming indirectly. Apart from all these environmental effects these storage devices are not affordable by poor people around the African and Asian countries due to the development cost.

Thus we come up with an eco-yet tech-friendly cooling system which uses water as the main refrigerant and the process of water evaporation to generate the cooling effect. Evaporation of water takes a lot of heat away about 540 calories per gram. The structure would be modular to meet specific goal based on requirements. The model would be stronger lighter and portable with outer layer made of thermocol and the inner layer made of conductive Aluminium sheets. The buffer material comprising of sand and wood chips are used in compliance with the light weight and portability requirements. To know the moisture integrity of the buffer, a moisture sensor, Seven Segment display with micro controller is used. The inner space of the device is partitioned into compartments to allow flexible storage. Apart from that device contains IR sensors to detect space availability for storage. Thus the user can know when he has to refill the system and available box space. A Solenoid valve is used to provide both auto and manual refilling mode for water in the buffer region. A Peltier device which is being controlled on the basis of temperature sensor is used for further enhanced cooling.

Keywords: Refrigerator, Moisture Sensor, Peltier Device, Evaporative Cooling.

Focal and Non-Focal EEG Signal Classification by Computing Area of 2D-PSR Obtained for IMF

doi: https://doi.org/10.13052/jicts2245-800X.523
R. Krishnaprasanna1, and V. Vijaya Baskar2

1Research scholar, Department of ECE, Sathyabama University, Chennai, Tamil Nadu-600119, India
2Professor, Department of ETCE, Sathyabama University, Chennai, Tamil Nadu-600119, India

Abstract: [+]    |    Download File [ 1514KB ]    |   Read Article Online

Abstract: The Electroencephalogram (EEG) signals are typically used indicators for the detection of epileptic seizures in the human brain by placing sensors in the scalp of the brain. In this paper, we classify focal (F) and non-focal (NF) EEG signals by computing the area of 2D-PSR obtained for intrinsic mode functions (IMFs). IMFs are obtained by disintegrating the EEG signals using Empirical mode decomposition (EMD). The main objective of this work is to classify the focal and non-focal EEG signal for the medical purpose. The proposed technique namely area of 2D-PSR method has provided promising class accuracy for classification of focal and non-focal EEG signals which gives 98.95% accuracy with polynomial and RBF kernal.

Keywords: Focal and Non-Focal EEG signal, Empirical mode decomposition (EMD), Intrinsic mode function (IMF), 2D-PSR (phase space representation).

Real-Time Attack Monitoring on Telecom Network Using Open-Source Darknet and Honeypot Setup

doi: https://doi.org/10.13052/jicts2245-800X.524
L. Sivakamy1, S. Pradheepkumar1, A. Sivabalan1 and Anand R. Prasad2

1NEC Technologies India Private Ltd, India
2NEC Corporation, Japan

Abstract: [+]    |    Download File [ 1636KB ]    |   Read Article Online

Abstract: The traditional use of darknets is to passively monitor malicious traffic in a network. In this paper, we describe an experimental setup that leverages this property of the darknet in a network monitoring setup coupled with several honeypot servers. The honeypots are configured as a decoy to lure cyber attacks on the network. The cyber-security test-bed thus designed enables us to monitor an end-to-end mobile communication network test-bed [1] and detect attacks on the network in real-time. After successful trial runs, the results and alert incidents show that the cyber-security setup is efficient in detecting malicious activity in the network.

Keywords: Darknet, Alerts, Cybersecurity, Honeypots, Cyber attacks, Network monitoring, Malware detection.

River Publishers: Journal of ICT Standardization