114 research outputs found
Paradigm Shifts and New Worldviews: Kuhn, Laudan and Discovery in Molecular Biology
No full text[Editors\u27 Introduction]
The author poses an alternate set of ideas concerning paradigms, normal science, research traditions and scientific revolution on the basis of the unique and inherently distinctive development of molecular biology and genetics; for, a new set of conceptual tools concerning scientific progress are required for an adequate understanding of how biological processes were elucidated under the scientific auspices of the central dogma of the genetic code. This essay concentrates on a limited study of three aspects in genetics: the study of chromosome structure, dynamics and function, reverse transcriptases, and the discovery of RNA catalysts. In attempting to analyze the key moments of discovery in these processes, Venkatesan distinguishes between Kuhnian and Laudanian notions of science and how molecular biology configures into them and attempt to put forth a set of ideas that may not necessarily conflate the two but provide further insight into their treatises on the nature of scientific revolution of which they discuss at length
Distributed optimization on a wireless sensor network testbed
No full textThe focus of this thesis is to implement various distributed optimization algorithms on a physical wireless sensor network. Distributed optimization refers to optimization of some global function which is not completely known to any single node in a communication network. The global function is some combination of local functions that are available at each node. Therefore the objective is for all nodes to achieve consensus on the global optimum given only local information and communication with neighbors.
Algorithms from the literature that address this problem in different set- tings are introduced, focusing on an incremental subgradient-based algorithm and a broadcast, gossip-based algorithm. These algorithms are applied to lo- calize a light source. This localization problem is formulated as a distributed optimization problem in which the global optimum is the true location of the source, and the local information is comprised of light intensity measurements at each node. Simulation results and results from physical implementations on the testbed are presented for the two different approaches. A modified version of the broadcast algorithm is also presented, and is shown to be supe- rior to the unaltered algorithm in certain settings via simulation and testbed results.Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-05-01The student, Neeraj Venkatesan, accepted the attached license on 2015-04-23 at 19:16.The student, Neeraj Venkatesan, submitted this Thesis for approval on 2015-04-23 at 19:21.This Thesis was approved for publication on 2015-04-24 at 09:05.DSpace SAF Submission Ingestion Package generated from Vireo submission #8071 on 2015-07-22 at 14:18:45Made available in DSpace on 2015-07-22T22:33:52Z (GMT). No. of bitstreams: 2
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Previous issue date: 2015-04-24Embargo set by: Seth Robbins for item 79905
Lift date: 2017-07-22T22:34:16Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 79905 on 2017-07-23T09:15:17Z
Mr. T. M Venkatesan
No full textPresently working as a mentor for 5S, TPM, lean Energy Conservation and six sigma training, Implementation and projects for mfg and service industry. He teaches change Business Management through 5S, LEAN, TPM,Energy Conservation and Six Sigma. He works extensively with several clients. Some of them are Premier Explosives Ltd- Hyderabad, RAK Ceramics Ltd- Samalkot, JNTU- Hyderabad, Rani pettai Engg Collg- Vellore (TamilNadu), BHEL- Hyderabad, Aurobindo Pharma Hyd Ltd, Dr.Reddy Laboratory Ltd – Hyd ,Sonali Castings (P) Ltd –Hyd, Fine Alloy Castings Ltd, Kamal Foot wear – Vijayawada, CII – Hyderabad, Vijayawada, Vizag & Kakinada, Hi-Tech institute of Pharma sciences – Hyd, GMR Airport – Shamshabad, APITCO – Hyd, Roots Industries India Ltd – TamilNadu, Sweet Magic – Vijayawada, Garapati/ Ramcor – Vijayawada, Vilan Garments (P) Ltd – Vijayawada, Ramcor Marketing (P) Ltd. etc.
Mr. T.M.Venkatesan enjoys balancing out a very busy professional life with strong community links through involvement in not-for-profit organizations that can use his skills and enthusiasm. His interests include literature, movies, music, theatre, intricacies of business/financial world. Certified Energy Auditor- Bureau of Energy Efficiency, under Ministry of Power, Govt.of India. Chartered Engineer in Mechanical Engineering. Total Manufacturing Industry experience in Auto Parts 48yrs. From TVS for 12years (A Deming Award Company )and Own Industry for 22yrs.(auto parts to multinationals) Trained in TOC by Dr Goldratt the author of the book The Goal Best Entrepreneur Award from HMA.(Hyderabad Management Association) Best Entrepreneur Award from Govt. of Andhra Pradesh. Exporter from 1991 to Singapore, Indonesia and Srilanka. Visited U.S., Germany, Italy, France, Singapore, Malaysia, Thailand, Indonesia and Srilanka (9 countries). Represented Govt. of Andhra Pradesh in LASVEGAS (U.S) and Govt. of India in Jakarta (Indonesia). Past President of Rotary club Hyderabad - Mega City. BLACK BELT IN SIX SIGMA and Practicing MASTER BLACK BELT and Trained in Lean Sigma by BMG(Longmont. Co., USA)..Trained more than 3000 participants in Manufacturing &Service Industries.
T. M. Venkatesan is currently doing his PhD (Kaizen) (Operations Management-Quality) at VIT Business School, VIT University, and Vellore India. Prior to this he did his M.S (Research) studies at the same Business School and upon obtaining Distinction in M.S he got upgraded to PhD Program. Earlier he was graduated as Mechanical Engineer from Institution of Engineers (India) in the year 1975. He has a total of 50 years industry exposure both in Manufacturing &Training He is a Certified Energy Auditor (Govt. Of India) Certified Quality Examiner with RBNQA (2014) and a Certified Master Trainer for ZED Rating (Quality Council of India), BB in six sigma from Benchmark Six Sigma
He has presented research papers at IIT Kharagpur, IIM Indore, IIM, Trichy. Received Golden Paper Award for his paper @Pondicherry University in 2018, and two research papers on KAIZEN, submitted in Scopus indexed Journal has been accepted for Publicationhttps://www.interscience.in/mentors/1059/thumbnail.jp
An event-related potential (ERP) study of attention allocation in the processing of a fear appeal and its relation to HPV vaccine acceptance
No full textThe present study had two general aims. The primary purpose was to test whether varying the level of threat content in a fear appeal affects attention allocation to the communication. It was predicted that a high threat fear appeal would capture and sustain more attention than a low threat fear appeal and that this increase would facilitate deeper message processing. The second objective was to examine the effect of dispositional and personal relevance factors on the decision to obtain a vaccine that protects against strains of the Human Papillomavirus (HPV). To test these hypotheses, a sample of college women (n = 72) were randomly assigned to listen to either a high threat or low threat fear communication about HPV. A dual-task paradigm was used to measure attention allocation in real-time wherein participants listened to the fear appeal while completing an unrelated visual stimulus discrimination task. Measures of P300, an event-related potential (ERP) component believed to reflect resource allocation, were obtained during message exposure. A follow-up interview was conducted 6-weeks after the experimental session to assess vaccine uptake, information seeking behavior, and knowledge retention about HPV. Women who expressed intentions to obtain the HPV vaccine were more likely to have made plans to get the vaccine or were already vaccinated at the time of follow-up (OR = 29.18, CI = 1.53 to 557.53, p < .05). The high threat fear appeal was associated with more knowledge retention about HPV at the time of follow-up than the low threat communication, β = .38, p < .05. The results also suggest that attention allocation during message exposure was positively associated with HPV knowledge retention (β = .23, p < .05) and the likelihood of having obtained or made plans to obtain the vaccine (OR = 1.02, CI = 1.004 to 1.04, p < .05). In the high threat condition, number of sexual partners was positively associated with intentions to consult a doctor about HPV (β = .33, p < .05) and to talk to friends about the vaccine (β = .32, p < .05). However, lack of sexual activity, parental disapproval, and concerns over vaccine safety were the most cited reasons for not wanting or being unsure about the vaccine. The present study has made a significant methodological contribution by incorporating a dual-task paradigm and a real-time measure of attention allocation to assess message processing.Ph.D.Includes abstractVitaIncludes bibliographical referencesby AArathi Meenakshi Venkatesa
Temperature measurement of overlapped fiber Bragg grating sensors in a series fiber sensor network
No full textFiber Bragg Gratings (FBGs) in a sensor network have been widely used for structural health and process monitoring. The number of FBGs with distinct wavelength that can be used in such a sensor network is limited by the bandwidth of the laser used. FBGs, with overlapping spectra cannot be interrogated in a series sensor network since they shadow each other. Methods like time division multiplexing (TDM), code division multiplexing (CDM) have been used to interrogate overlapped FBGs. TDM is limited by the power budget system and CDM is limited by the number of FBGs can be used. We propose a neural network based Spectral Division Multiplexing (SPDM) scheme, to monitor overlapped FBGs in a series fiber sensor network
Electrochemical recycling of rare earth elements from NdFeB magnet waste
No full textRare earth elements (REEs), along with other metals, will play a pivotal role in the transition towards a low-carbon economy. Primary mining of REEs consists of multiple steps, is energy intensive and has an adverse environmental impact. Thus, the current scenario of “use and throw” of REEs after a single use in a product is untenable. Furthermore, the REEs are classified as critical metals by the US and EU due to the monopoly of China over REE production. Thus, recycling REEs from secondary resources and end-of-life (EOL) waste products can help effectuate a circular economy by a) reducing the environmental impact of primary mining, b) reducing the dependency on imports and formulating a secure supply chain, c) avoiding landfilling and incineration...(OLD) MSE-
Implementation of a vortex particle scheme to analyze the wake of a wind turbine modeled using actuator lines
No full textThe efficiency of a wind turbine depends largely on the wake of the upstream turbine. Seeking to contribute towards the development of a wind farm solver using a Lagrangian scheme to analyze the wake, this thesis analyses and validates (using MATLAB) a Vortex Particle Method (VPM) algorithm by simulating the behavior of vortex rings. Due to the computationally expensive nature of VPM schemes to solve n-body problems, such as the simulation of vortex rings and wind turbine wake, a Fast Multipole Method (FMM) library called BBFMM3D has been studied and validated (using C++) for the acceleration of computation of matrix-vector products which are essential in solving n-body problems. The execution of the VPM algorithm has been shown to be possible to be accelerated using the validated FMM library by implementing the library in the VPM scheme to simulate the case of a single vortex ring. Using the VPM solver developed to simulate vortex rings, the simulation of a wake of a wind turbine, that was modeled using actuator lines, was performed (without FMM) and the results have been analyzed and attempted to be validated. It has been found that the VPM scheme generates less than accurate results of the velocity profile of the wake with respect to other CFD simulations and the model could not be validated due to the results not being accurate up to the mark. However, the accuracy of the results has been found to rely significantly on the formulation of the strengths of the vortices shed into the wake. Two formulations for this purpose have been presented with the results showing signs of improvement from one formulation to another.Aerospace Engineerin
Neural Network Modelling for Composite Damage Pattern Generation
No full textThis research project was initiated as a result of a curiosity and desire to investigate the applicability of surrogate modelling to analyse complex non-linear behaviour in aircraft structures. The study chose to focus on modelling damage in composite plates, and through a literature review, deemed that the generation of graphical outputs was a domain worthy of attention. Thus, the research questions subsequently formulated were centred around the modelling of artificial neural networks for the generation of damage patterns on composite plates.Data for training and evaluating these neural networks was first generated through 20 finite element models solved using Abaqus 2017. Standard neural networks trained to directly reproduce these damage patterns, as well as reduced-image neural networks trained to reproduce a reduced formof these patterns (obtained using convolutional neural networks) were analysed, and both were found in want ofmore training data. The generation of a further 421 finite element models resulted in a striking improvement in the performance of both networks, but with the standard neural network outperforming the reduce-image neural network. Thereafter, it was discovered that a hybrid network that combined facets of the standard and convolutional neural networks performed superior to both.In the process of training these networks, it was recognised that while the performance metrics served as an indicator of the resemblance between the predicted and actual outputs in terms of colours and contours, the same trends did not apply to the image quality. In order to improve the visual quality of outputs from the hybrid network, the use of the Structural Similarity Index (SSIM) was explored. It was eventually determined that pre-training the network using the Mean Square Error (MSE) as its optimising metric before then doing the final training using SSIM resulted in a model with impressive results. This fine-tuned model carried out predictions with a mean error of 0.0014 on theMSE metric and 0.9804 on the SSIM metric when evaluated on an independent dataset. Finally, the reliability and computational efficiency of the hybrid model was measured. It was found that approximately 95% of the MSE values on the independent dataset were within a value of 0.0040, while the same percentage of SSIM values were over 0.9100. The computation speed, meanwhile, improved by a factor of roughly 34 times on average, with the figure rising to over 443 on specific models.Aerospace Engineerin
Survey of incidence of various surface defects in goat and sheep skin in Madras
No full text23,429 goat skins and 37,026 sheep skins were examined to find out the incidence of various surface defects in them. 33.44 percent of goat
skins and 14.6 per cent of sheep skins were found to be affected in quality. Major defects common to both goat and sheep skins were
abscess, fire-mark and psoroptosis. In addition to the above common defects demodecosis and sheep pox appreciably deteriorated the quality of
goat and sheep skins respectively. Seasonal variation in the incidence of the major defects were also studied
Survey of incidence of various surface defects in goat and sheep skin in Madras
No full text23,429 goat skins and 37,026 sheep skins were examined to find out the incidence of various surface defects in them. 33.44 percent of goat
skins and 14.6 per cent of sheep skins were found to be affected in quality. Major defects common to both goat and sheep skins were
abscess, fire-mark and psoroptosis. In addition to the above common defects demodecosis and sheep pox appreciably deteriorated the quality of
goat and sheep skins respectively. Seasonal variation in the incidence of the major defects were also studied
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