Stjosephs Institute Of Technology

Chennai, India

Stjosephs Institute Of Technology

Chennai, India

Time filter

Source Type

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.


Aaron James S.,Sathyabama University | Siva T.,Stjosephs Institute Of Technology | Suresh D.,Stjosephs Institute Of Technology
International Journal of Pharmacy and Technology | Year: 2015

Electrotherapy is a method of treatment of patients by electrical means. This means that electrical forces are applied to the body bringing about physiological changes for therapeutic purposes. The concept of electrotherapy as therapeutic agent is not a recent innovation. The use of electricity for therapeutic purposes has grown in recent years and now includes a wide variety of apparatus, leading one perhaps to the false impression that the concept is novel. Electrotherapy employing low volt low frequency impulse currents has become an accepted practice by the physiologists. The biological reactions produced by low volt currents have resulted in the adoption of this therapy in the management of many diseases affecting muscles and nerves. The technique is used for treatment of paralysis with totally of partially degenerated muscles, for treatment of pain, muscular spasm and peripheral circulatory disturbances and several other applications. © 2015, International Journal Of Pharmacy and Technology. All rights reserved.


Aaron James S.,Sathyabama University | Siva T.,Stjosephs Institute Of Technology | Suresh D.,Stjosephs Institute Of Technology
International Journal of Pharmacy and Technology | Year: 2015

An Automated System for Surgical Instrument and Sponge Tracking that increases the safety of surgical procedures.It utilizes Radio Frequency Identification Technology to aid in accounting for all items used during surgery.The approach is to develop an Electronic Inventory that can keep track of surgical item used during surgery. Radio Frequency Identification is used for non-line Of sight identification (A unique serial number of each sponge can be received by a Wireless means).A check- in station, a check-out station and a patient scanner are used by OR personal to track and /or find sponge throughout the surgery. All of these components by a software system that utilizes a color coded interface for easy and fast assessment of the location of the items during surgery. © 2015, International Journal Of Pharmacy and Technology. All rights reserved.


Kamalakkannan S.,Sathyabama University | Kirubakaran D.,Stjosephs Institute Of Technology
International Journal of Applied Engineering Research | Year: 2014

This paper recapitulates the Z-source inverter technology for interfacing the renewable energy sources as inputs for power generation. The inputs from solar cell and wind are given as inputs to single input DC-DC converter. The regulated output voltage from DC-DC converter is taken to Impedance-source inverter with resistive load arrangement. The PIC micro controller controls the system. The various simulation results and experimental results thus obtained through the system are made known to substantiate the qualities of Impedance-source inverter systems for renewable energy sources. © Research India Publications.


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.


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.


Kalarani S.,St Josephs Institute Of Technology | Chitralekha B.,Stjosephs Institute Of Technology | Shruthy E.,Stjosephs Institute Of Technology
International Journal of Applied Engineering Research | Year: 2015

The Online Social Networking site is a platform to share interests, activities and thoughts among the people. Its exponential growth provides a way to find many useful results. The main purpose of this paper is to use social networking sites (Twitter) as a source to generate an alert system during the occurrence of natural hazards like tsunami, earthquake, etc. Natural hazards may occur at any time but there is no proper approach is implemented to create awareness about the incident among the people. Since the usage of SNS is increased and time spending people on these sites are also increasing, they can be used to generate an alert system. The system will work faster and will be more effective than the existing approach. As described in this paper, we analysis the tweets posted by the people about the event or hazard occurrence using a keyword extraction algorithm known as stemming algorithm. Using this algorithm keywords are separated from the user typing information and the keywords identified are stored separately. Every time count is incremented after identifying the keyword. Once the count has reached its limit an automatic alert is sent as E-mail and SMS to mobile phones to all registered users and Rescue team for taking the necessary actions. The alert message will contain the location where the incident has been happening. © 2015 Research India Publications.


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.

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