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Representation of women in fairytales: A comparison between three literary texts and their movie adaptations /
Fairytales have been known to create a beautiful world around us. Children have read it or heard it as bed time stories which lead them to dream, create their own fantasies or become a princess who waits for her Prince Charming. Through the passage of time these fairytales have undergone numerous changes with each being of them being of great significance to the norms and culture in place for the society that was in place at the time. -
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Design And Development Of Artificial Intelligence Based Knowledge Management System For Managing Software Security Vulnerabilities
Software development practices play a signifcant role in building the world s future. It is the place where exciting technological evolution begins in the world. Exploration of critical challenges in the area of software development plays a signifcant role in fueling the pace of technological progression in the industry. This work focuses on exploring important areas of software development practices and problems faced by the industry. Understanding the critical parts of the software system development eco-system and the stakeholders associated with those will be important. Customers of software development teams, the software development industry and knowledge newlinesources, and the software development internal eco-system are the broad focus areas of study. Leveraging the data already spread across the eco-system and facilitating easy newlineaccess to practitioners as and when there is a need will be one of the primary focuses. newlineThe software development landscape module, customer landscape module, and industry landscape module are the key modules that will be explored in this work. The core aspiration of the work will be to integrate all the possible data across the industry newlineand process the same and make it easily accessible to the practitioners as and when they are needed. The process also makes the data smarter and more insightful over time. -
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Investigating structure and spectral energy distribution of galaxies using uvit and multi-wavelength archival data
This thesis deals with the multi-wavelength investigation of the different aspects of galaxy formation and evolution. The first part of this thesis deals with the studies on the characteristics of the in-orbit performance of the Ultraviolet Imaging Telescope (UVIT) on-board AstroSat. We have written a UVIT pipeline (JUDE ) to convert the Level 1 data from the Indian Space Science Data Centre (ISSDC) into scientifically useful photon lists and images. We have also performed an independent calibration of the FUV and NUV channels of the UVIT using JUDE. We found that the photometric sensitivity is about 35% that of the Galaxy Evolution Explorer (GALEX ) in the FUV broadband filter, and about the same as GALEX in the NUV broadband filter. The point spread function (PSF) of the instrument is of the order of 1.2 1.6and#8242;and#8242;. We found that the performance is close to that expected from the ground-based calibrations. We studied the recent star formation in the nearby face-on spiral galaxy NGC 2336 using the UVIT imaging. We have identified 78 bright star-forming complexes in the disk and derived their positions and estimated their properties such as luminosities, sizes, star formation rates (SFRs), colors, and ages. The FUV-NUV colors of the complexes are found to be redder in the inner region of the galaxy and become progressively bluer as the radius increases. The last part of this thesis is devoted to a model-based study of galaxies using physically motivated Code Investigating Galaxy Emission (CIGALE) package. We have studied 10,000 galaxies from GALEX SDSS merged catalog using CIGALE and estimated their properties such as stellar masses, SFRs, stellar populations, dust luminosities etc. We have classified this set of galaxies into the star-forming, intermediate and quiescent type of galaxies based on their specific SFR. We also studied the properties of dust-lane spheroidal galaxies (DLSGs) drawn from the multi-wavelength archival data in 18 bands from FUV to FIR using GALEX, SDSS, 2MASS, WISE, and AKARI surveys. -
Topological Indices Based on Distance Labeling
This thesis explores the prospect of combining two prime branches of graph theory, newlineviz., topological indices and graph labeling, specifcally radio labeling. The majority newlineof the work includes the topological radio indices of graphs and their properties. Topological indices are numerical values associated with graphs and invariant with graph isomorphisms. Apart from Topological Radio Indices, it provides some additions to the eccentricity-based topological indices. newlineRadio labeling or radio coloring, c, is assigned to a graph G such that the label difference between any two vertices must be greater than diam(G)+ 1 and#8722; d(u,v). Optimum radio labeling is the foundation for defning Topological radio indices. Labeling whose span is the radio number of the graph and which leads to the minimum value of the index newlineis considered the optimum radio labeling. The topological radio indices and coindices newlineare defned and are found out for some special classes of graphs, including gear graphs, newlinewheel graphs, and star graphs. The bounds for the frst, second and third Zagreb radio indices have been established and characterized for the classes of graphs for which the bound is sharp. Furthermore, newlinespecifc relationships between Zagreb radio indices and coindices are established concerning different parameters of the graph. newlineThe idea of consecutive radio labeling is explicitly studied. We have characterized the newlinegraphs with diameter 2 admitting consecutive radio labeling. We have studied the properties of graphs admitting consecutive radio labeling and stated the necessary and suffcient conditions for a graph to follow consecutive radio labeling. The study extended to eccentricity-based topological indices, viz., the forgotten eccentricity indices. The maximum d(u,v) for all v in V(G) is the eccentricity of the vertex u in G. This work also investigates eccentricity-based coindices and some of their properties. newlineApart from this, some uniquely radio colorable graphs are examined and characterized. -
Cost Effective Synthesis of Carbon Nanoparticles and Exploring the Fluorescence and Electrochemical Applications
Graphene-based materials and composites for sensing are a fascinating field in material science research that is experiencing rapid advancement. But the applications of graphene-based materials were often hampered by their high production cost, low yield, expensive and scarce precursors, harmful processing techniques, etc. Coal is made up of islands of nanometer-sized crystalline carbon domains linked by a 3D network of amorphous aliphatic carbon and polymerized aromatic hydrocarbons that can be extracted using mild oxidizing agents. In this context, the present study reports the successful usage of low-grade coal, lignite as an ideal precursor for the production of carbon nanostructures for various sensing applications. This research is divided into three parts where value addition to coal is being done along with finding solutions to three major environmental issues: fluorescence sensing of copper ion; noninvasive glucose fluorescence sensing; simultaneous electrochemical sensing of heavy newlinemetal ions cadmium and lead. In the first study, carbon nanostructures were synthesized from lignite by a simple, scalable, and economical technique and the as-prepared carbon nanostructures, namely LC1, LC2 and LC3, demonstrated excellent fluorescence characteristics. LC3 exhibited remarkable copper ion sensing with a dual linear range with limits of detection (LOD) as low as 1.32 pM and 2.35 pM, with limits of quantification (LOQ) 4 pM and 7.14 pM respectively. The accuracy of the manufactured sensor was shown by the recovery rates of copper ions, which varied from 98.18% to 101.2% with Relative newlineStandard Deviations (RSDs) below 0.4%. The results are captivating, implying that newlinethese lignite derived carbon nanostructures could be employed to efficiently and newlineeconomically detect low concentrations of copper ions in water. In the second study, carbon nanoribbons and nanosheets with superior fluorescence were synthesized from lignite, using a facile chemical oxidation process. -
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An analysis of online marketing strategies used by maggi during the 2015 crisis /
Online marketing has become an integral part of branding, advertising and marketing communication for any brand today. Communicating with the consumers at the time of crisis using the right marketing mix is essential and that is exactly what Maggi did during the crisis that the brand faced in 2015. Maggi had used online marketing strategies to reach out to consumers belonging to various sections of the society during the crisis. -
Humour as a tool for brand recall. Understanding the concept through five star advertisements /
Advertisements are considered as one of the effective tool of promoting a service or product. Though it has high impact on people it uses different appeals to attract the viewers. One of the effective appeals used by advertisers is humour. Humour has been used widely in advertisements since years. Everyone likes humour and the concept behind using humour in advertisements is clearly based on the people’s psychology. The researcher tries to find out whether humour is used as a tool for brand recall or not by using different qualitative and quantitative methods. -
Modified Metal Organic Frameworks for Electrocatalytic Water Splitting and Energy Storage Applications
Metal-organic frameworks (MOFs) are a class of crystalline material formed by the newlinecombination of metal ions/clusters along with organic linkers. This work is mainly based on newlinesynthesizing MOFs and their application in electrocatalytic water splitting and newlinesupercapacitors. The MOFs synthesized in the present work are Ni-Cu, {Mn-NiNH2(h2fipbb)}, Mn-MOF/rGO, and Sm-MOF/rGO/PANI using different ditopic and tritopic linkers. Using various characterization techniques, the formation of the synthesized MOFs is confirmed. The increasing use of fossil fuels now contributes to a number of environmental problems, including climate change and global warming. High-performance electrochemical energy storage devices are essential for portable electronics, electric cars, newlineand renewable energy storage medium, driving demand. MOFs are emerged as a promising newlinecontender for energy storage applications owing to their novel microstructures, atomically dispersed metal centers, and earth-abundant metal components. Electrochemical water splitting is a crucial approach in the pursuit of producing environmentally friendly fuels such newlineas H2 and O2, reducing our dependence on traditional fossil fuels while promoting newlinesustainable and clean energy sources. In order to produce hydrogen with the best efficiency and lowest cost, these MOFs are used. Electrochemical studies like cyclic voltammetry, galvanostatic charge discharge, and electrochemical impedance spectroscopy reveal that the prepared MOFs can be used as supercapacitors. Linear sweep voltammetry and Tafel plot determine the performance of these MOFs towards water splitting studies. Supercapacitors, which are electrochemical capacitors, are popular energy storage devices with quick charge rate, high power density, excellent rate capability, and outstanding life expectancy. -
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Content analysis of Shyamprasad films /
Shyamaprasad is a renowned Malayalam film maker popular for his unique and refreshing style of film making. He is well known for the themes he employs in his films which make them stand apart. This research consists of an in depth analysis of all twelve films made by the film maker using various parameters. The parameters that are considered are themes, characters, underlying ideas, setting, conflicts and emotions. -
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After-Sale Service Failures and Their Influence on Customer Behaviour with Reference to Home Appliances
There are continuous technological advancements, and home appliance manufacturers have developed innovative products that make customer's life effortless. The increase in the purchasing power of the customers made the industry more competitive and put an extra burden on the manufacturers to adopt new technologies that help customers solve their problems and fulfil their needs. Firms face problems and challenges in the form of after-sale service failures. After-sale services are an integral part of home appliance products, and the companies can not avoid these while serving the customers. Although the after-service structure is rich in empirical studies on different service sectors like information technology, after-sale service failure, and consumer behaviour modelling in the home appliance have not been adequately investigated in Indian services. Previous researches have relied on understanding the services and their relation to either satisfaction or loyalty. Thus, they have been unable to disentangle the phenomenon of unfavourable reactions after an after-sale service failure from satisfaction and dissatisfaction. After-sale service is an essential component of customer behavioural outcomes. Therefore, businesses need to understand how after-sale service failures influence customer behaviour. Despite service superiority's importance, the home appliance industry lacks industry-specific, widely recognized instruments for after-sale service assessment. The primary goal of this study is to find major after-sale service failures and look at how these after-sale service failures affect customers, leading to unfavourable behavioural reactions. The study used a quantitative approach to understand the issue comprehensively. This research incorporated various after-sale service failure areas discussed and analyzed by previous research. It also discussed service theories and models (Expectancy Disconfirmation Paradigm, Justice Theory, Attribution Theory) related to failures and behaviours. However, this research focuses mainly on how these service failure areas lead to customer behavioural outcomes. Firstly, to know the major after-sale service failure areas, this study prepared the questionnaire based on the literature available on after-sale service failures and customers' reviews and their experience with the after-sale service of the home appliance companies. Data is collected from customers who have experienced after- sale service failures and their subsequent behaviour. The study analyzed the reasons for after-sale service failures, the types of failures that customers encounter, and the impact of these failures on customer behaviour, including their negative word of mouth, switching behaviour, willingness to recommend the brand etc. The findings of this study provided valuable insights into how businesses can improve their after-sale service and retain their customers. The study found seven major after-sale service failures that significantly impact customer behaviours. Unreasonable charges and policy clarity issues are the most significant service failures affecting customers, leading to negative behaviours. These findings show that different types of service failure elicit different reactions. The present study is one of the few empirical studies examining the links between service failures and actual behaviours in consumer durable after-sale service failures. -
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Improvised process model for prediction of software development effort by integration of risk
Software development involves usage of a finite quantum of resources in accordance with the estimated effort and schedule. The newlineSoftware Development Lifecycle comprises activities pertaining to software engineering. The software engineering activities could be carried out using any of the various models available in practice. The newlineprocess of estimating size and effort accurately is vital in a software project since it could influence the success of the project. However, the realistic estimation of time and resources required for a project newlinecontinues to be a challenge. Risks exist in any software project, and hence Risk management is required to be considered across various processes throughout the project. The risks could be quantified by newlinearriving at the risk score based on the probability of occurrence of the risk and its impact. This research focused on the aspect that risk factors need to be considered in software effort estimation. A total of 503 newlinesoftware projects were considered, and from this dataset, projects which had risk score information were extracted and utilized for further analysis. This research work proposed an improvised effort estimation process by including risk scores in the standard estimation process. It also analysed the relationship existing between risk score in the project and other parameters considered in the effort estimation process. Regression analysis that was done on the dataset revealed an improvement in the model fitment by inclusion of risk score. An ensemble machine learning approach was utilized through deployment of Extreme Gradient Boosting algorithm. This algorithm was chosen newlineafter a model selection process by comparing various algorithmic models. The results indicated a better model fit by including risk as one of the parameters in the effort estimation process. A validation for the newlineproposed risk-integrated effort estimation model was done through responses from industry practitioners to a research instrument. -
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Promotional strategies used by electronic dance music festicals (Sunburn and VH1 supersonic) on social networking sites /
This study deals with promotional strategies used by Electronic Dance Music (EDM) festivals like Sunburn and Supernova on social networking sites. This study also tries to learn branding techniques used by these Electronic Dance Music’s. The interest Indian youth have on music festivals has increased and is still increasing mainly due to social networking sites especially in the past few years. Promotions used by these events are trending and are the most successful promotional strategies implemented till date.