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Institution

National Institute of Technology Calicut

EducationKozhikode, Kerala, India
About: National Institute of Technology Calicut is a education organization based out in Kozhikode, Kerala, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 3627 authors who have published 4638 publications receiving 50830 citations. The organization is also known as: Calicut Regional Engineering College & NIT Calicut.


Papers
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Proceedings ArticleDOI
03 Apr 2012
TL;DR: This paper proposes a completely automated approach for MSRCR by obtaining parameter values from the image being enhanced by obtaining Parameters used in this enhancement method are varied based on the images under consideration.
Abstract: The dynamic range of a camera is much lesser than that of human visual system. This causes images taken by the camera to look different from how the scene would have looked to a naked eye. Multi Scale Retinex with Color Restoration (MSRCR) algorithm enhances images taken under a wide range of nonlinear illumination conditions to the level that a user would have perceived it in real time. But there are parameters used in this enhancement method that are image dependent and have to be varied based on the images under consideration. In this paper we propose a completely automated approach for MSRCR by obtaining parameter values from the image being enhanced.

68 citations

Journal ArticleDOI
TL;DR: Ca2+ ion is portrayed as one of the role players in neuronal death and cerebral damage following ischemia and its regulatory mechanisms and the failure of homeostatic mechanisms are discussed in detail.
Abstract: Role of calcium ion (Ca2+) in the functioning of neurons from their naive state to mature state is of vital importance. It controls functions such as neuronal functioning, neuronal ATP production, central nervous system migration and many others. Failure in Ca2+ homeostasis mechanisms and the resulting cellular Ca2+ ion load initiates a cascade of reactions involving various cytosolic enzymes and proteins. This total mechanism leads to the neuronal death. The ability of neurons to resist such death mechanisms fails as a result of extensive cell death signaling cascade reactions and later brings brain damage. The role of neuronal endoplasmic reticulum and protein channels like CaVs, TRP channels, and NMDAR as the mediators of cell damage and death has been evaluated in the studies related to cerebral ischemia. Here, we portray Ca2+ ion as one of the role players in neuronal death and cerebral damage following ischemia. The role of Ca2+ in neuronal functioning, its regulatory mechanisms and the failure of homeostatic mechanisms are discussed in detail.

68 citations

Journal ArticleDOI
TL;DR: The results indicate that setup-oriented rules provide better performance than ordinary rules and the difference in performance increases with the increase in shop load and setup time ratio.
Abstract: This paper presents the salient aspects of a simulation-based experimental study of scheduling rules for scheduling a dynamic job shop in which the setup times are sequence-dependent. A discrete event simulation model of the job shop system is developed for the purpose of experimentation. Seven scheduling rules from the literature are incorporated in the simulation model. Five new setup-oriented scheduling rules are proposed and implemented. Simulation experiments were conducted under various experimental conditions characterized by factors such as shop load, setup time ratios, and due date tightness. The results indicate that setup-oriented rules provide better performance than ordinary rules. The difference in performance between these two groups of rules increases with the increase in shop load and setup time ratio. One of the proposed rules performs better for mean flow time and mean tardiness measures.

67 citations

01 Jan 2010
TL;DR: The power of this network to approximate functions from given input-output data is proved and it has utilized the localization property of a wavelet to focus on local properties and guaranteed upper bounds on the accuracy of approximation is established.
Abstract: A wavelet network is an important tool for analyzing time series especially when it is nonlinear and non-stationary. It takes advantage of high resolution of wavelets and learning and feed forward nature of Neural Networks. Wavelets are a class of functions such that multiple resolution nature of wavelets provides a natural frame work for the analysis of time series. The power of this network to approximate functions from given input-output data is proved and it has utilized the localization property of a wavelet to focus on local properties. Guaranteed upper bounds on the accuracy of approximation is established. Here we are analyzing the time series of number of terrorist attacks in the world measured on monthly basis during the period February 1968 to January 2007 for establishing the superiority of this method over other existing methods. The simulation results show that the model is capable of producing a reasonable accuracy within several steps. Mathematics Subject Classication: 37M10, 65T60, 92B20

67 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a general approach to implement Reliability Centered Maintenance (RCM) in process plants and validated it with the maintenance history data of a process plant manufacturing titanium dioxide with a production capacity of 20,000 metric tonnes per annum.

66 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202336
2022130
2021707
2020622
2019523
2018431