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Deepa H.R.,Bnm Institute Of Technology | Thipperudrappa J.,Bnm Institute Of Technology | Suresh Kumar H.M.,Siddaganga Institute of Technology
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy | Year: 2013

The absorption and fluorescence spectra of 6,7,8,9-tetrahydro-6,8,9- trimethyl-4-(trifluoro methyl)-2H-pyrano[2,3-b][1,8]naphthyridin-2-one (LD-489) and 1,2,3,8-tetrahydro-1,2,3,3,8-pentamethyl-5-(trifluoromethyl)-7H-pyrrolo[3,2- g]quinolin-7-one (LD-473) have been recorded at room temperature in different solvents and 1,4-dioxane-acetonitrile solvent mixtures. The UV-Visible absorption spectra are less sensitive to solvent polarity than the corresponding fluorescence spectra in both the dyes which show pronounced solvatochromic effect. The effects of solvents upon the spectral properties are analyzed using Lippert-Mataga polarity function, Richardts microscopic solvent polarity parameter and Catalán's multiple linear regression approach. Both general solute-solvent interactions and specific interactions are operative in these systems. The solvatochromic correlations are used to estimate excited state dipole moments using experimentally determined ground state dipole moments. The excited state dipole moment for both the dyes are found to be larger than their corresponding ground state dipole moment and is interpreted based on their resonance structures. © 2013 Elsevier B.V. All rights reserved.


Deepa H.R.,Bnm Institute Of Technology | Thipperudrappa J.,Bnm Institute Of Technology | Suresh Kumar H.M.,Siddaganga Institute of Technology
Journal of Luminescence | Year: 2012

The fluorescence quenching of 4-methyl-7-(4-morpholiny)-2H-pyrano[2,3-b] pyridin-2-one (LD-425) by aromatic amines aniline (AN), dimethyl aniline (DMAN) and diethyl aniline (DEAN) in solvent mixtures of 1,4-dioxane and acetonitrile has been studied at room temperature by steady-state and time-resolved methods. The positive deviation from linearity has been observed in the SternVolmer (SV) plots. Various quenching rate parameters have been determined using the extended SV equation and are found to be dependent on solvent polarity. The quenching ability of amines increases with increase in their ionization energies. Further, with the use of the sphere of action static quenching model and finite sink approximation model, it is concluded that the bimolecular quenching reactions are due to the presence of both dynamic and static quenching processes. © 2012 Elsevier B.V.


Kumar P.K.,Bnm Institute Of Technology | Kumar P.K.,Indian National Institute of Engineering | Raghavendra N.V.,Indian National Institute of Engineering | Sridhara B.K.,Indian National Institute of Engineering
Materials and Design | Year: 2011

Elevated temperature post curing is one of the most critical step in the processing of polymer composites. It ensures that the complete cross-linking takes place to produce the targeted properties of composites. In this work infrared radiation (IR) post curing process for glass fiber reinforced polymer composite laminates is studied as an alternative to conventional thermal cure. Distance from the IR source, curing schedule and volume of the composite were selected as the IR cure parameters for optimization. Design of experiments (DOE) approach was adopted for conducting the experiments. Tensile strength and flexural strength of the composite laminate were the responses measured to select the final cure parameters. Analysis of variance (ANOVA), surface plots and contour plots clearly demonstrate that the distance from the IR source and volume of the composite contribute nearly 70% to the response functions. This establishes that polymer composites cured using IR technique can achieve the same properties using only 25% of the total time compared to that of conventional thermal curing. © 2010 Elsevier Ltd.


Bhargavi M.S.,BNM Institute of Technology | Gowda S.D.,BNM Institute of Technology
Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 | Year: 2014

Clustering aims at partitioning unlabelled data samples into clusters so that the samples within a cluster are close to each other. One of the most challenging issues in cluster analysis is the determination of true clusters. This challenge becomes more intriguing in case of hierarchical clustering techniques that requires dynamic termination of the clustering process at true conception of clusters. In this paper, a dynamic cut-off for hierarchical agglomerative clustering has been proposed which automatically terminates the clustering process once optimal number of clusters are obtained. The cut-off is based on the computation of validity index to assess the global proximity and local proximity of the clusters at every level of the hierarchy. The decision of optimality is rendered during the construction of the hierarchical tree. This eliminates the need for the computation of the complete tree. Experimental analyses on real datasets from UCI machine learning repository demonstrate the efficiency of the proposed method in detecting true clusters © 2014 IEEE.


Prasad S.,BNM Institute of Technology | Sharma M.,BNM Institute of Technology
Indian Journal of Marketing | Year: 2016

The tug-of-war between the physical and online stores has intensified in recent years with an exponential growth in Internet usage and a subsequent boost to online shopping. Consequently, the retail industry is going through a disruptive phase, and the crux of all these disruptions is the change in the channel usage and preferences of the buyers. The adoption and usage of online channels by the buyers has been different for different product categories. In order to realize the market potential of online food & grocery retail, it is necessary to understand the buyers' characteristics that impact the online channel usage for purchase of food & grocery. The objective of the study was to understand the influence of demographic and socioeconomic factors among the Indian populace on online channel usage and non-usage for purchase of food & grocery. The study is based on an empirical analysis of the profile of buyers of food & grocery in Bangalore, India. The findings in the context of the Indian urban population revealed that demographic factors do not impact online channel usage for food & grocery purchase. The study showed that socioeconomic factors, pertaining to the respondent buyer, did have a significant impact; whereas those pertaining to the chief wage earner in the household did not impact the online channel usage. The marketing implications for the online retailers suggest that for increased market penetration, a communication strategy focused on bringing an attitudinal change among the chief wage earners is needed in those households that do not purchase food & grocery online.


Krishna H.A.,Satellite Center | Misra N.K.,Satellite Center | Suresh M.S.,BNM Institute of Technology
IEEE Transactions on Aerospace and Electronic Systems | Year: 2011

Spacecrafts in geostationary Earth orbit and low Earth polar orbit experience temperatures in the range of -180°C to 80°C [1, 2] depending on the orbit. Solar cells are mounted on light weight aluminum honeycomb panels which are deployed and Sun pointed in on-orbit operation. Solar panels charge batteries and supply power to the satellite during sunlit period and batteries supply power during eclipse period. The open circuit voltage (Voc) of a silicon solar cell varies by about -2.5 mV/°C [3] and temperature can bring about a dramatic change in the solar cell characteristic, particularly with reference to operating voltage. PRT mounted on the rare of the solar panel measure the temperature of the solar panel. This introduces errors due to temperature gradients between solar cell blanket and solar panel and slow transient response of PRTs. A method of using solar cell capacitance to measure the temperature of solar cell blanket is proposed. This removes error due to location and transient response of PRT. Solar cell as a temperature sensor for measurement of temperature is demonstrated. © 2006 IEEE.


Bhargavi M.S.,BNM Institute of Technology | Gowda S.D.,BNM Institute of Technology
Pattern Recognition | Year: 2015

In a multi-surveillance environment, voluminous data is generated over a period of time. Data analysis for summarization and conclusion has paved a way for the need of an efficient clusterization. Clustering, an unsupervised way of learning about data aims at defining clusters. Validation of clusters formed indicates the trueness of the clusters. In this paper, a novel validation technique with dynamic termination of clustering process has been proposed to obtain true clusters. In the validation process, the validity index is based on both global cluster proximity relationship and local proximity relationship. The validity index is computed for validating the available clusters using 'within-cluster sum-of-squares', 'between-cluster sum-of-squares', 'total-sum-of-squares', 'intra-cluster distances' and 'inter-cluster distances'. The ratio between two consecutive validity indices is the extent of variation which specifies the cut-off point. Cut-off terminates the clustering process dynamically indicating the number of clusters and validates the obtained clusters. The proposed method is tested on several real and synthetic data sets. Comparisons with the existing methods demonstrate the efficiency of the proposed method in detecting true clusters. © 2015 Elsevier Ltd. All rights reserved.


Chakravarthi V.S.,BNM Institute of Technology
Lecture Notes in Electrical Engineering | Year: 2013

SMART homes are soon going to be the reality with all the necessary technology available and changing lifestyle demanding it. Today, internet is being used for range of applications from banking needs to entertainment to day planners to appliance control. With internet capabilities and superior processing power of VLSI technology coupled with availability of wide range of sensors, it is no more a dream to have a SMART Home. This paper discussed the hardware and software technologies which can be used to realize the SMART Home. SMART Home hardware is defined as a Platform SoC identifying the specific differentiators which makes it a preferred candidate for such applications. Proposed PSoC is required to support many interfaces, standards to cater to wider functions of a Home to name a few Entertainments, healthcare, appliance control, environmental control, etc. User-friendly GUI, low power, and faster response will be the major differentiators of such platform SoCs. This paper attempts to identify the functional requirements of a basic Platform SOC and gives insight into PSoC architecture for SMART Home solution. © 2013 Springer.


Ramamurthy T.J.,BNM Institute of Technology
Lecture Notes in Electrical Engineering | Year: 2013

As BNM Institute of Technology, Bangalore enters its thirteenth year, I feel privileged to be part of every stage of its growth since its inception. In this article, I have tried to recall my presence as a part of BNMIT's growing years. © 2013 Springer.


Prasad B.G.,BNM Institute of Technology | Krishna A.N.,SJB Institute of Technology
ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology | Year: 2011

Advances in medical imaging technology and computer science have greatly enhanced interpretation of medical images, and contributed to early diagnosis. The development of Computer Aided Diagnosis (CAD) systems for assisting the physicians for making better decisions has attracted lot of interest in the recent past. CBIR-based CAD systems that use CBIR to search for clinically relevant and visually similar images (regions) depicting suspicious lesions have been attracting research interest. Content-based image retrieval (CBIR) of medical images is an important alternate and complement to traditional text-based retrieval using keywords. We have implemented CBIR system based on the effective use of texture information within the images. Two different statistical methods implemented are: Haralick Statistical Co-occurrence Matrix and Tamura method. To speed up the search process, selected features are extracted and indexed using hash structure. Euclidean distance measure is used for similarity measurement. Both the methods are compared based on precision and recall. Tamura features are found to provide better retrieval results for CT scan brain images. © 2011 IEEE.

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