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Time filter

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Vithya G.,Stjosephs Institute Of Technology | Vinayaga Sundaram B.,Anna University
Wireless Personal Communications | Year: 2016

In Smart Hospitals by deploying a Wireless Bio Multimedia sensor (WBMS) Network, which is a collection of wireless scalar biosensor such as Thermistor (to measure body temperature), Sphygmomanometer bio sensor (to measure Blood pressure), Respiratory sensor system (to measure breath), Holter sensor, Continuous Glucose Monitor biosensor, Immuno biosensor and forth with Wireless Multimedia Sensor node to contrivance the automatic patient Monitoring for the wireless Nurse Call System. WBMS network transmitted the scalar, video data of an inpatient via patient Cluster Head (PCH) in smart Hospitals are named as Patient case report data. It is classified as Critical, Intermittent, and Normal Data. An inpatient’s scalar data from different biosensors and multimedia data are fused in the Patient Cluster Head (PCH). The fused data packets are routed from the Patient Cluster Head (PCH) to the destination by using contextual fuzzy routing. We present an Intensive Care Automatic Contextual Routing for inpatients in the hospital to automize the monitoring and for the Wireless transmission. The data are routed based on the fuzzy rule to avoid delay by checking a priority between the two PCH. It supports diverse QoS by assigning different weight for each scalar data with different priorities to avoid end-to-end delay in the transmission of critical data. To provide a support to the Nurse Call system to monitor the inpatients in post operational care. © 2016 Springer Science+Business Media New York


Moorthy R.S.,Stjosephs Institute Of Technology
2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 | Year: 2015

Cloud computing allows consumers to use the applications as remote with internet access as pay per use. Resource Allocation is one of the most challenging tasks in cloud since it depends on dynamicity of resource providers and heterogeneous user request. To efficiently allocate the user request in a resource, Efficient Resource Allocation (ERA) is proposed. Hence, in the proposed efficient resource allocation mechanism, Job Centric Cosine Similarity based K-Means ( JCC K-Means) is used to cluster the resources dynamically based on user request and improved branch and bound based assignment algorithm is used for efficient allocation of cloud resources to user request. The proposed work is simulated and compared with K-means and Random Allocation. The simulation is carried out in Java using Eclipse IDE The simulation results shows that the proposed work achieves better result in terms of efficient resource discovery, makespan and user satisfaction. © 2015 IEEE.


Balaji V.R.,Stjosephs Institute Of Technology | Murugan M.,Valliammai Engineering College
2015 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2015 | Year: 2015

This paper discusses an optical filter designed using the two-dimensional (2D) photonics crystal. The filter has been designed to work in Dense Wavelength Division Multiplexing (DWDM) communication using ultra cell resonant cavity. The filter analysis was initially carried out by changing the attributes of photonic crystal such as radius of inner ring rods and refractive index. Hence, it is possible to tune the wavelengths with characteristics according to DWDM standard. The filter is designed to work in 1552 nm, 1553 nm, 1554 nm, 1555 nm, 1556 nm, 1557 nm and 1558 nm with 1nm channel spacing and 0.2 nm spectral linewidth, 96 % to 100 % transmission efficiency, and quality factor to be 8000 respectively. The proposed filter was designed and simulated with Finite-Difference Time-Domain (FDTD) algorithms and the results are discussed at the end for the use in Photonic Integrated Circuits. © 2015 IEEE.


Dafni Rose J.,Stjosephs Institute Of Technology | Dev D.D.,Stjosephs Institute Of Technology | Rene Robin C.R.,Jerusalem College of Engineering
Journal of Theoretical and Applied Information Technology | Year: 2014

Text clustering is used to group documents with high levels of similarity. It has found applications in different areas of text mining and information retrieval. The digital data available nowadays has grown in huge volume and retrieving useful information from that is a big challenge. Text clustering has found an important application to organize the data and to extract useful information from the available corpus. In this paper, we have proposed a novel method for clustering the text documents. In the first phase features are selected using a genetic based method. In the next phase the extracted keywords are clustered using a hybrid algorithm. The clusters are classed under meaningful topics. The MLCL algorithm works in three phases. Firstly, the linked keywords of the genetic based extraction method are identified with a Must Link and Cannot Link algorithm (MLCL). Secondly, the MLCL algorithm forms the initial clusters. Finally, the clusters are optimized using Gaussian parameters. The proposed method is tested with datasets like Reuters-21578 and Brown Corpus. The experimental results prove that our proposed method has an improved performance than the fuzzy self-constructing feature clustering algorithm. © 2005 - 2014 JATIT & LLS. All rights reserved.


Shunmugakani P.,Sathyabama University | Kirubakaran D.,Stjosephs Institute Of Technology
International Journal of Power Electronics and Drive Systems | Year: 2016

Renewable power systems as distributed generation units often experience big changes in the inverter input voltage due to fluctuations of energy resources. Z-source inverter (ZSI) is known as a single-stage buck/boost inverter. The ZSI achieves voltage buck/boost in single stage, without additional switches. Triggering on state enables energy to be stored in inductors, which is released when at non-shoot-through state, followed by the voltage boost feature. The voltage-fed Z-source inverter/quasi-Z-source inverter (QZSI) has been presented suitable for photovoltaic (PV) applications mainly because of its single-stage buck and boost capability and the improved reliability. © 2016 Institute of Advanced Engineering and Science. All rights reserved.

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