Loyola-ICAM College of Engineering and Technology

Chennai, India

The Loyola-ICAM College of Engineering and Technology is an engineering and technology school in Chennai, India. It is approved by AICTE and affiliated with the Anna University of Technology, Chennai. It is a Jesuit institution. Wikipedia.

Time filter

Source Type

Joseph S.,St Xaviers College | Joseph S.,Loyola College Autonomous | Melvin Boby S.J.,Loyola-ICAM College of Engineering and Technology | Theresa Nathan D.M.G.,Loyola College Autonomous | Sagayaraj P.,Loyola College Autonomous
Solar Energy Materials and Solar Cells | Year: 2017

Free-standing, micrometer long TiO2 nanotube arrays (TiNTs) were synthesized via anodization by utilizing selected transition metals and non-transition elements as cathode materials. Free-standing TiNTs arrays with the maximum tube length up to 153 µm was fabricated with Ti cathode material, whereas, the cost effective cathodes materials of charcoal and graphite pencil yielded nearly 100 µm long nanotubes for an anodization time of 48 h. The barrier layer was removed from the bottom of the free-standing TiNT arrays using chemical etching process. The as-synthesized open ended free-standing amorphous arrays were then crystallized into anatase phase. The annealed free-standing TiNT array was powdered and mixed with TiO2 nanoparticles (NP) to form TiNT/TiO2 NP composite and then utilized as photoanodes to fabricate dye sensitized solar cells (DSSCs). The J-V characteristics and the performances of the solar cells were studied and compared. The results indicate that the TiNT arrays developed with different cathode materials are similar to or in some cases superior to those nanotubes obtained using Pt cathode. Thus, the strategy employed in this work provides a simple, efficient and economical fabrication method for large scale production of TiNT arrays. © 2017 Elsevier B.V.

Alamelu S.,Loyola-ICAM College of Engineering and Technology | Baskar S.,Thiagarajar College of Engineering | Babulal C.K.,Thiagarajar College of Engineering
International Journal of Electrical Power and Energy Systems | Year: 2015

This paper addresses an application of evolutionary algorithms to optimal siting and sizing of UPFC which are formulated as single and multiobjective optimization problems. The decision variables such as optimal location, both line and distance of UPFC from the sending end, control parameters of UPFC and system reactive power reserves are considered in the optimization process. Minimization of total costs including installation cost of UPFC and enhancement of the loadability limit are considered as objectives. To reduce the complexity in modeling and the number of variables and constraints, transformer model of UPFC is used for simulation purposes. CMAES and NSGA-II algorithms are used for optimal siting and sizing of UPFC on IEEE 14 and 30 bus test systems. NSGA-II algorithm is tested on IEEE 118 bus system to prove the versatility of the algorithm when applied to large systems. To validate the results of transformer model of UPFC for optimal siting and sizing, results using other models are considered. In single objective optimization problem, CMAES algorithm with transformer model yields better results when compared to other UPFC models. The statistical results conducted on 20 independent trials of CMAES algorithm authenticate the results obtained. For validating the results of NSGA-II with transformer model for optimal siting and sizing of UPFC, the reference Pareto front generated using multiple run CMAES algorithm by minimizing weighted objective is considered. In multiobjective optimization problem, the similarity between the generated Pareto front and the reference Pareto front validates the results obtained. © 2015 Elsevier Ltd. All rights reserved.

Balaji S.,Loyola-ICAM College of Engineering and Technology | Ramasamy S.,RMK Engineering CollegeTamilnadu
Proceedings of the European Conference on Radiation and its Effects on Components and Systems, RADECS | Year: 2015

The paper presents the analysis of radiationinduced Single-Event Transients (SET) in Delay-Locked Loop (DLL) and its impact in the digital output of Time-To-Digital Converter (TDC). The performance of the TDC such as Differential Non-Linearity (DNL),Integral Non-Linearity (INL), resolution etc. are degraded due propagation of the SET from the DLL. The use of improved pseudo differential currentstarved delay cell structure in the Voltage Controlled Delay Line (VCDL) in DLL reduces the impact of radiation-induced SET in DLL, and enhances the robustness of DLL based TDC. This effort represents the first of its kind SET analysis on a DLL based TDC. The proposed DLL based TDC is designed in the AMS 180 nm CMOS technology and simulations show that the number of missing pulses on a SET strike in the modified pseudo differential delay cell is reduced to 50% than compared the conventional architectures. © 2015 IEEE.

Rexy A.I.,Loyola-ICAM College of Engineering and Technology | Seyezhai R.,SSN College of Engineering
Advanced Materials Research | Year: 2014

By employing the power factor corrected circuits the supply current will tend to follow the supply voltage. Hence both are in phase with each other. Single-stage interleaved AC-DC converter with ripple steering technique is proposed in this paper to reduce line current harmonics and to improve the supply power factor. Interleaved Boost Converter (IBC) topology with ripple steering technique is analysed here. The proposed IBC with ripple steering is simulated in MATLAB/SIMULINK and the performance parameters such as supply Harmonics, Power Factor (PF) and Distortion Factor (DF) are computed and compared with conventional topology. Experimental results show the advantages and flexibilities of the proposed method. © (2014) Trans Tech Publications, Switzerland.

Karuppanan K.,Anna University | Jayakumaran C.,Loyola-ICAM College of Engineering and Technology
International Journal of Environment and Pollution | Year: 2013

Regionalisation is to organise a large set of spatial objects into spatially contiguous regions despite optimising the homogeneity of the derived regions, while representing social and economic geography. To confront this problem, it is necessary to classify the regions to form groups that are homogeneous in air quality attributes. It is to develop a system that applies data mining techniques to study the distribution of air pollutants in Chennai, a metro city in India using vehicular ad hoc networking and map the distribution on the geographical map for effective policy making. In conventional regionalisation methods, the data points are assigned to a single region in a multidimensional attribute space affecting air pollution response. However, some data points, having distributed membership to more than one region, could not be justified and allocated to a single region. Rough set-based clustering technique is applied to regionalisation problem to resolve vague or overlapping regions. The overlapping regions are restructured to guarantee the homogeneity of the regions formed or altered. The investigations of the cluster validity tests confirm the effectiveness of rough set-based regionalisation in air quality modelling. © 2013 Inderscience Enterprises Ltd.

Nirmala D.E.,Loyola-ICAM College of Engineering and Technology | Vaidehi V.,Anna University
2015 IEEE International Conference on Computer Graphics, Vision and Information Security, CGVIS 2015 | Year: 2015

With the recent developments in the field of visual sensor technology, multiple imaging sensors are used in several applications such as surveillance, medical imaging and machine vision, in order to improve their capabilities. The goal of any efficient image fusion algorithm is to combine the visual information, obtained from a number of disparate imaging sensors, into a single fused image without the introduction of distortion or loss of information. The existing fusion algorithms employ either the mean or choose-max fusion rule for selecting the best features for fusion. The choose-max rule distorts constants background information whereas the mean rule blurs the edges. In this paper, Non-Subsampled Contourlet Transform (NSCT) based two feature-level fusion schemes are proposed and compared. In the first method Fuzzy logic is applied to determine the weights to be assigned to each segmented region using the salient region feature values computed. The second method employs Golden Section Algorithm (GSA) to achieve the optimal fusion weights of each region based on its Petrovic metric. The regions are merged adaptively using the weights determined. Experiments show that the proposed feature-level fusion methods provide better visual quality with clear edge information and objective quality metrics than individual multi-resolution-based methods such as Dual Tree Complex Wavelet Transform and NSCT. © 2015 IEEE.

Preetham Kumar D.S.P.,Loyola-ICAM College of Engineering and Technology | Iniyan S.,Anna University
Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013 | Year: 2013

The objective of this work is to increase the reliability of wind turbine blades through the development of new design. In this design, blades are designed carefully to enable absorbing energy with its greatest efficiency. In this work, Solid Edge and ANSYS software have been used to design blades efficiently. This work also gives a hint on the manufacturing processes in the development of the wind turbine system. © 2013 IEEE.

Ramachandran B.,University of West Florida | Ramanathan A.,Loyola-ICAM College of Engineering and Technology
2015 Clemson University Power Systems Conference, PSC 2015 | Year: 2015

The recent push for electrified vehicles, including both plug-in hybrid vehicles and pure electric vehicle may further increase peak electrical load if left unmitigated, resulting in more demand for generation and transmission capacities. Fortunately, PEVs can be treated as controllable loads or even power sources under extraneous situations for demand side management (DSM). Although centralized approach certainly performs an effective demand side management, an important concept regarding the privacy of the information access is not already considered. The objective function for this multi objective problem of demand side power management and decentralized control is the total electricity generation cost and cost associated with implementing the demand side management programs. Thus saving a unit of electricity because of implementing demand side management can be treated like producing a unit of electricity by a power plant. The main constraint related to DSM is that the maximum expected saving that could be achieved by implementing DSM is capped to a realistic maximum limit. The framework is flexible and could incorporate any meta-heuristic for multi-objective optimization. This multi objective approach is applied on a test system comprising of 2516 domestic consumers, 296 small consumption firms, 150 medium consumption firms and 4 large consumption firms. It is observed that PEVs could utilize information transfer with the grid to shape the effect exhibited on the overall load. Also the obtained numerical results show that this approach will improve PEV market penetration, especially relative to centralized strategies that could deter consumers who wish to independently determine their charging strategy. © 2015 IEEE.

Balaji S.,Loyola-ICAM College of Engineering and Technology | Ramasamy S.,RMK Engineering College
Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics | Year: 2015

A high resolution timing generator is used as a building block for Time to Digital Converters (TDC) and clock alignment functions. The timing generator is implemented using digital Delay-Locked Loop (DLL). As DLLs are vulnerable to single event effects, the propagation of single-event transients (SETs) single event transients (SETs) is a significant reliability challenge for DLL. The errors signatures following an ion strike in Voltage-Controlled Delay Line (VCDL) can be mitigated using the dual controlled differential delay circuit in combination with sensitive node active charge cancellation (SNACC) for biasing circuit of VCDL. The dual controlled differential delay circuit based VCDL has faster locking with reduced duty cycle error. © 2015 IEEE.

Loading Loyola-ICAM College of Engineering and Technology collaborators
Loading Loyola-ICAM College of Engineering and Technology collaborators