National Institute of Technology Calicut
Calicut, India

The National Institute of Technology Calicut ,, , formerly the Calicut Regional Engineering College , is a federally funded technical university and an institute of national importance governed by an act passed by the Parliament of India. The campus is situated at Chathamangalam, 22 kilometres north east of Kozhikode, formerly known as Calicut, on the Kozhikode–Mukkam Road. It was established in 1961 and was known as Calicut Regional Engineering College until 2002. It is one of the National Institutes of Technology established by the Government of India for imparting high standard technical education to students from all over the country. The college is among the very few institutions in the country to host a Supercomputer of its own. Wikipedia.

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Mohanraj M.,Information Institute of Engineering | Jayaraj S.,National Institute of Technology Calicut | Muraleedharan C.,National Institute of Technology Calicut
Renewable and Sustainable Energy Reviews | Year: 2012

In this paper, an attempt has been made to review the applications of artificial neural networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat pump (RACHP) systems. The studies reported are categorized into eight groups as follows: (i) vapour compression systems (ii) RACHP systems components, (iii) vapour absorption systems, (iv) prediction of refrigerant properties (v) control of RACHP systems, (vi) phase change characteristics of refrigerants, (vii) heat ventilation air conditioning (HVAC) systems and (viii) other special purpose heating and cooling applications. More than 90 published articles in this area are reviewed. Additionally, the limitations with ANN models are highlighted. This paper concludes that ANN can be successfully applied in the field of RACHP systems with acceptable accuracy. © 2011 Elsevier Ltd. All rights reserved.

Satyanarayana M.,National Institute of Technology Calicut | Muraleedharan C.,National Institute of Technology Calicut
Energy | Year: 2011

In the present study, rubber seed oil, coconut oil and palm kernel oil, which are locally available especially in Kerala (India), are chosen and their transesterification processes have been investigated. The various process variables like temperature, catalyst concentration, amount of methanol and reaction time were optimized. Biodiesel from rubber seed oil (with high free fatty acid) was produced by employing two-step pretreatment process (acid esterification) to reduce acid value from 48 to 1.72mg KOH/g with 0.40 and 0.35 v/v methanol-oil ratio and 1.0% v/v H2SO4 as catalyst at a temperature of 63(±2)°C with 1h reaction time followed by transesterification using methanol-oil ratio of 0.30 v/v, 0.5 w/v KOH as alkaline catalyst at 55(±2)°C with 40min reaction time to yield 98-99% biodiesel. Coconut oil and palm oil, being edible oils, transesterification with 0.25 v/v methanol-oil ratio, 0.50% w/v KOH as at 58(±2)°C, 20min reaction time for coconut oil and 0.25% v/v methanol-oil ratio, 0.50% w/v KOH as alkaline catalyst at 60(±2)°C for palm kernel oil will convert them to 98-99% biodiesel. The brake thermal efficiency of palm oil biodiesel was higher with lower brake specific fuel consumption, but rubber seed oil biodiesel(ROB) showed less emission (CO and NOx) compared to other biodiesels. © 2010 Elsevier Ltd.

Nanthagopalan P.,National Institute of Technology Calicut | Santhanam M.,Indian Institute of Technology Madras
Cement and Concrete Composites | Year: 2011

Self-compacting concrete (SCC) is extensively applied in many construction projects due to its excellent fresh and hardened concrete properties. In recent years, manufactured sand (Msand) produced by crushing rock deposits is being identified as a suitable alternative source for river sand in concrete. The main objective of this study is to explore the possibility of using Msand in SCC. In this process, an attempt was made to understand the influence of paste volume and w/p ratio (water to powder ratio) on the properties of self-compacting concrete (SCC) using Msand. The powder and aggregate combinations were optimised by using the particle packing approach, which involves the selection of combinations having maximum packing density. The chemical admixtures (superplasticisers, viscosity modifying agent) were optimised based on simple empirical tests. Fresh concrete tests such as slump flow, T500 and J-ring were performed on SCC; hardened concrete tests were limited to compressive strength. From the results, it was observed that relatively higher paste volume is essential to achieve the required flow for SCC using Msand, as compared to river sand. Low and medium strength (25-60 MPa) SCCs were achieved by using Msand based on the approach adopted in the study. Results showed that it is possible to successfully utilise manufactured sand in producing SCC. © 2011 Published by Elsevier Ltd.

Nidheesh P.V.,National Institute of Technology Calicut
RSC Advances | Year: 2015

Fenton processes have gained much attention in the field of wastewater treatment during recent years. In order to overcome the disadvantages of Fenton processes, research has focused more on the heterogeneous Fenton process, with highly active and stable solid catalysts. This review reports on advances in the field of heterogeneous Fenton processes in recent years, especially focusing on the various heterogeneous catalysts used. After a general introduction to the various Fenton processes, their advantages and the importance of heterogeneous Fenton processes, various catalysts used in heterogeneous Fenton processes are described in detail. These catalysts are divided into iron minerals, zero-valent iron, waste materials, iron- and iron oxide-loaded materials, and clay. The properties, stability, activity and pollutant degradation mechanism of various catalysts are also discussed in detail. © The Royal Society of Chemistry 2015.

Rasheed P.A.,National Institute of Technology Calicut | Sandhyarani N.,National Institute of Technology Calicut
Analyst | Year: 2015

Single stranded DNA fragments were conjugated onto gold nanoparticles leading to the formation of gold nanoparticle clusters upon hybridization with complementary strands. These clusters were successfully implemented for signal amplification in an electrochemical DNA sensor based on a graphene substrate. The sensor exhibited excellent sensitivity and selectivity with a detection limit of 50 attomolar target DNA. This journal is © The Royal Society of Chemistry 2015.

Subha D.P.,National Institute of Technology Calicut
Journal of medical systems | Year: 2010

The EEG (Electroencephalogram) signal indicates the electrical activity of the brain. They are highly random in nature and may contain useful information about the brain state. However, it is very difficult to get useful information from these signals directly in the time domain just by observing them. They are basically non-linear and nonstationary in nature. Hence, important features can be extracted for the diagnosis of different diseases using advanced signal processing techniques. In this paper the effect of different events on the EEG signal, and different signal processing methods used to extract the hidden information from the signal are discussed in detail. Linear, Frequency domain, time - frequency and non-linear techniques like correlation dimension (CD), largest Lyapunov exponent (LLE), Hurst exponent (H), different entropies, fractal dimension(FD), Higher Order Spectra (HOS), phase space plots and recurrence plots are discussed in detail using a typical normal EEG signal.

Das S.,National Institute of Technology Calicut | Rajanikant G.K.,National Institute of Technology Calicut
Neuroscience and Biobehavioral Reviews | Year: 2014

Over the past decade, zebrafish has proved to be very useful in modeling neurodegenerative conditions. It poses a number of advantages and has been accepted as one of the best models for elucidating pathophysiological mechanisms of neurodegenerative diseases, including Huntington disease (HD). HD is a debilitating neurodegenerative genetic disorder that affects a person's ability to think, talk, and move. The pathophysiology of HD is not completely understood, which prevents the development of effective therapeutic approaches. Using zebrafish as a model organism, scientific advancements can be made in understanding the HD pathology/mechanisms with the hope of developing potential therapies in the near future. © 2014 Elsevier Ltd.

Vinod V.,P.A. College | Sridharan R.,National Institute of Technology Calicut
International Journal of Production Economics | Year: 2011

This paper presents the salient aspects of a simulation study conducted to investigate the interaction between due-date assignment methods and scheduling rules in a typical dynamic job shop production system. The due-date assignment methods investigated are dynamic processing plus waiting time, total work content, dynamic total work content and random work content method. Seven scheduling rules are incorporated in the simulation model for the scheduling of jobs on machines. The performance of the system is evaluated using various measures based on flow time and tardiness of jobs. Simulation experiments are carried out for the different scenarios that arise out of the combination of due-date assignment methods and scheduling rules. The simulation results are subjected to statistical analysis. It is found that dynamic due-date assignment methods provide better performance. Regression-based metamodels are developed using the simulation results. These metamodels have been found to be valid analytical models of the simulation model. © 2010 Elsevier B.V. All rights reserved.

Camilus K.S.,National Institute of Technology Calicut
Journal of applied clinical medical physics / American College of Medical Physics | Year: 2011

In most of the approaches of computer-aided detection of breast cancer, one of the preprocessing steps applied to the mammogram is the removal/suppression of pectoral muscle, as its presence within the mammogram may adversely affect the outcome of cancer detection processes. Through this study, we propose an efficient automatic method using the watershed transformation for identifying the pectoral muscle in mediolateral oblique view mammograms. The watershed transformation of the mammogram shows interesting properties that include the appearance of a unique watershed line corresponding to the pectoral muscle edge. In addition to this, it is observed that the pectoral muscle region is oversegmented due to the existence of several catchment basins within the pectoral muscle. Hence, a suitable merging algorithm is proposed to combine the appropriate catchment basins to obtain the correct pectoral muscle region. A total of 84 mammograms from the mammographic image analysis database were used to validate this approach. The mean false positive and mean false negative rates, obtained by comparing the results of the proposed approach with manually-identified (ground truth) pectoral muscle boundaries, respectively, were 0.85% and 4.88%. A comparison of the results of the proposed method with related state-of-the-art methods shows that the performance of the proposed approach is better than the existing methods in terms of the mean false negative rate. Using Hausdorff distance metric, the comparison of the results of the proposed method with ground truth shows low Hausdorff distances, the mean and standard deviation being 3.85 ± 1.07 mm.

Manoj V.J.,Kerala University | Elias E.,National Institute of Technology Calicut
Information Sciences | Year: 2012

Nonuniform filter bank transmultiplexer (NUFB TMUX) can be used to implement multicarrier communication system where applications with different data rates are to be multiplexed. It is possible to reduce the hardware complexity of the NUFB TMUX by representing the filter coefficients in canonic signed digit (CSD) format. In this paper the design of a multiplier-less NUFB TMUX is presented. NUFB TMUX with continuous filter coefficients is designed and the filter coefficients are synthesized in CSD format. Filter coefficient synthesis in CSD format is formulated as an optimization problem and an artificial bee colony (ABC) algorithm is used for the optimization. To preserve the canonic nature of filter coefficients in the ABC algorithm the filter coefficients are encoded using a look-up table. The look-up table also provides the number of signed power-of-two (SPT) terms in the CSD numbers. Simulation results show that the performance of the multiplier-less NUFB TMUX designed using the proposed ABC algorithm is much better than that of the multiplier-less NUFB TMUX obtained by rounding the continuous coefficients of filters to the nearest CSD number. Multiplier-less NUFB TMUX designed by the proposed ABC algorithm also outperforms that designed using genetic algorithm (GA) and particle swarm optimization (PSO). © 2010 Elsevier Inc. All rights reserved.

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