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ANALYSIS OF ORGANISATION BLOGS AS A PR TOOL
Organisation blogs have been used by organisations constantly at present times with the evolution of the digital world taking place. Every organisation involves various mediums through which they are constantly kept in the minds of the people. The researcher aims to find out the patterns and strategies used in organisation blogs as a Public relations tool. There are many public relations tools like in house publications, press conferences, Press releases, PR campaigns have been used by organisations since decades. The researcher aims to find out the growing importance of organisation blogs in the current scenario. The researcher would adopt qualitative method for the study. The researcher would analyse the blogs of top brands and conduct expert interviews. -
Analysis of some important fluid flow problems using differential geometry based methods
In this thesis we have studies MHD and EMFD flow of viscous and inviscid fluid for different cases when magnetic field and velocity are variably or constantly inclined. In particular magnetic and velocity vector are orthogonal. The pattern of streamlines and magnetic lines are derived in every problem and the effect of density and magnetic permeability on the variation of pressure is studied. The problems studied in this thesis give further investigation on the analytical solution of magnetohydrodynamic and electromagnetic fluid dynamic flow. -
Analysis of some important fulid flow problems using differential geometry based methods
In this thesis we have studied MHD and EMFD flow of viscous and inviscid fluid for different cases when magnetic field and velocity are variably or constantly inclined. In particular magnetic and velocity vector are orthogonal. The pattern of streamlines and magnetic lines are derived in every problem and the effect of density and magnetic permeability on the variation of pressure is studied. The problems studied in this thesis give further investigation on the analytical solution of magnetohydrodynamic and electromagnetic fluid dynamic flow. The problems that studied analytically in this thesis have possible application in theoretical analysis of fluid dynamics and the analytical findings in this thesis can be applied in engineering fields such as aeronautics, plasmas, liquid metals and salt water or electrolytes. We have studied five problems here in this thesis. These problems are to find analytical solution of different types of fluid flows in the presence of magnetic field. Here we give a brief summary about the problems discussed in detail in this research work. (i) GEOMETRY OF CONSTANTLY INCLINED VISCOUS MHD FLOWS newlineProblems on incompressible MHD flow of viscous and inviscid fluids having newlinefinite or infinite electrical conductivity have been investigated by many researchers newlineusing different transformation methods. Transformation method is applied from newlineone plane to another plane for studying the flows by reducing the order of the equation. In this problem we have studied a viscous MHD flow having infinite electrical conductivity when the magnetic field is inclined to the velocity vector in a constant angle. Hodograph transformation is applied to shift variables from the physical plane to the hodograph plane. Streamlines and magnetic lines are analyzed along with determining the solutions to the flow problems. Finally the newlinepressure variation is analyzed graphically. Flow pattern along with pressure variation, also studied in this problem for an orthogonal MHD flow. -
ANALYSIS OF TRANSITION OF FOLKTALE FROM ORAL TO TEXT TO VISUAL MEDIA CASE STUDY: KEIBU KEIOIBA (MANIPURI FOLKTALE)
Folklore is an art form, which consists of stories, songs, spells, proverbs, legends, belief, and other principles in a tradition of a culture, subculture, etc. The term "folk" can refer to any group of people whatsoever who share at least one common factor. In Manipuri tradition, the elders or grandparents to their grandchildren near a place called ??Phunga which means a ??fireplace in the vicinity of kitchen narrate folktale orally. It is a place where members of the family dines together and shares the stories of daily life. Hence, the name ??Phunga wari which means ??fireplace tale is also known as ??folktale in Manipuri culture. Manipur has a rich tradition of folktales since its inception. Keibu Keioiba is one of the most widespread folktales in Manipur. It is translated in many ways such as tiger head, half beast half human and a man tiger. It is represented in different ways: written (books), oral (oral transmission) and visual media (animation movie). The study aims to analyse the folktale Keibu Keioiba from oral tradition; books and animated movie to study the characteristics changes in the transition of medium. -
Analysis of Web Mining Patterns Using Custom-Built Apriori Algorithm
The dissertation entitled Analysis of Web Mining Patterns Using Custom-Built Apriori Algorithm has developed a custom-built apriori algorithm for the discovery of association rules in web log data. Web server log containing the information about all the web requests to the Christ university website is used for analysis. The methodology adapted by this research is a four step process, containing data preprocessing, frequent pattern discovery, analysis and developing a tool for implementing web mining. The custom built apriori takes the preprocessed weblog file as input and generates the frequent folders and the relationship among them. This thesis has also developed a tool written in java for this web usage mining process. The tool assists the user to execute the custom built apriori algorithm and to view the associations among folders based on the given support and confidence values to the tool. The web is a highly dynamic information source. Most of the organisations put information on the web because they want it to be seen by the world. Now a days the web is well beefed up with more information in an unstructured fashion. As the web and its usage continue to grow, there is an opportunity to analyse web data and extract useful knowledge from it. The objective of this research is to predict the user behaviour in interacting with the website that helps the website designer in improving the quality of website. The dissertation is organised into 5 chapters. Chapter1, Introduction starts with a brief overview of web mining and presents the objective of the study and the problem statement. Chapter 2, Literature review, discusses background work in the field of web mining and pattern discovery. Chapter 3, methodology elaborately discusses the process used for analysing the web patterns. Chapter 4 is dedicated for results and discussion. Chapter5, conclusion, summarises the inferences concluded based on the results obtained. The chapter also discusses the limitations and challenges and concludes with future scope of the study. KeyWords: Web Mining, Preprocessing, Web Server log, Frequent pattern -
Analysis of Web Mining Patterns Using Custom-Built Apriori Algorithm
The dissertation entitled Analysis of Web Mining Patterns Using Custom-Built Apriori Algorithm has developed a custom-built apriori algorithm for the discovery of association rules in web log data. Web server log containing the information about all the web requests to the Christ university website is used for analysis. The methodology adapted by this research is a four step process, containing data preprocessing, frequent pattern discovery, analysis and developing a tool for implementing web mining. The custom built apriori takes the preprocessed weblog file as input and generates the frequent folders and the relationship among them. This thesis has also developed a tool written in java for this web usage mining process. The tool assists the user to execute the custom built apriori algorithm and to view the associations among folders based on the given support and confidence values to the tool. The web is a highly dynamic information source. Most of the organisations put information on the web because they want it to be seen by the world. Now a days the web is well beefed up with more information in an unstructured fashion. As the web and its usage continue to grow, there is an opportunity to analyse web data and extract useful knowledge from it. The objective of this research is to predict the user behaviour in interacting with the website that helps the website designer in improving the quality of website. The dissertation is organised into 5 chapters. Chapter1, Introduction starts with a brief overview of web mining and presents the objective of the study and the problem statement. Chapter 2, Literature review, discusses background work in the field of web mining and pattern discovery. Chapter 3, methodology elaborately discusses the process used for analysing the web patterns. Chapter 4 is dedicated for results and discussion. Chapter5, conclusion, summarises the inferences concluded based on the results obtained. The chapter also discusses the limitations and challenges and concludes with future scope of the study. KeyWords: Web Mining, Preprocessing, Web Server log, Frequent pattern -
ANALYSIS ON POSSIBILITIES OF SMARTPHONE USING THE COMPUTATIONAL CAPABILITY OF CLOUD
Cloud computing and mobile computing has become a big revolutionary stage in computer science communities. Both has become intertwined and facilitating end users in various fields. Cloud system administrators begin to enhance the cloud system with additional servers to help mobile devices, example is C2DM launched by Google. It is a PaaS model of cloud. It has enhanced the Smartphones limited battery power and low bandwidth using push technology. In some situations server need to push some short messages to mobile client like notification regarding new app update or event. For these kinds of features, polling or push mechanism can be used. In polling mechanism, mobile app pings server periodically and checks if any new data is available for download. Polling can make data on device stale and polling frequently can create stress on server and network. This approach is not suitable for mobile devices as it uses precious network bandwidth more and so battery consumption will be more. To overcome these Google has been introduced push technology known as C2DM which is enhancing the short comings of smart phone using the powerful computational resources of cloud. The thesis mainly concentrating on the working of C2DM, its architectural overview, life cycle overflow, enabling C2DM, sending and receiving message. Push messaging provides the possibility for mobile devices to receive messages from a content publisher via a cloud application, which is a fair example of Smartphone and cloud integration efficiency. Keywords - Intent, server ADV, client AVD, SDK, APNS, GSM, C2DM, BPS, MPNS -
Analytical Studies on Metal Complexes in Solution
Analytical chemistry is the study of separation, identification and quantification of the chemical components of natural and artificial materials. Mainly analytical chemistry deals with quantitative and qualitative analysis. It has applications in chemistry, biochemistry, biology, geology and other sciences and also in industries. Many analytical methods occupy a unique position because of its simplicity, less expensive instrumentation, high sensitivity and selectivity. A great development in spectrophotometry is based on development and measurement of colour. Molecules which do not give colour by themselves develop appreciable colour on reaction with chromogenic reagents and provide a method of analytical determination of molecules. So efforts are being directed towards finding suitable reagents, which have characteristic absorption with metal ions in spectrophotometric analysis. Molybdenum and vanadium are important elements both for industry and for biological systems The simultaneous determination of these metal ions in various samples are of great importance. Therefore efforts are being directed towards finding suitable reagents, which have characteristic colour reactions with microgram amounts of metal ions of interest for spectrophotometric analysis. Salicylaldehydep-chlorophenyl thiosemicarbazone(SAPCPTSC) as a chromogenic reagent for the extractive spectrophotometric determination of Vanadium(V) and Molybdenum(VI) is presented in this study. The reagent SAPCPSC gave instantaneous and stable yellow colour with Vanadium(V) and Molybdenum(VI) in the acidic pH range. The colour reactions in detail has been explored and the possibility of spectrophotometric determination of the micro amounts of vanadium(V) and molybdenum(VI) is established with necessary conditions. The stoichiometry of the complex is established by Jobs method of continuous variation and confirmed by mole ratio method. The stability constant, the standard deviation and the coefficient of variations are reported. Derivative spectrophotometry enables the exact determination ?maxof this type of metal ions. Molar absorptivity, Sandells sensitivity and quantitation limit values show that the proposed method is highly sensitive. The coloured species were stable over several hours making the method practicable. Many cations and anions do not interfere with the determination even if they are present in excess. Surfactants have the ability to solubilise a water insoluble complex or ligands and so micellar medium has also been employed so as to avoid the use of toxic organic solvents. The proposed method has been successfully applied for the determination of molybdenum and vanadium in steel samples.KEY WORDS: Salicylaldehydep-chloroanilinethiosemicarbazone, vanadium, molybdenum, derivative spectrophotometry, micellar medium, simultaneous determination. KEY WORDS: Salicylaldehydep-chloroanilinethiosemicarbazone, vanadium, molybdenum, derivative spectrophotometry, micellar medium, simultaneous determination. -
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Animal-Assisted Therapy : Effect on Neuropsychological Functioning, Depression and Emotion Regulation
The mere presence of a dog in a therapeutic setup is known to bring about positive newlineoutcomes, so when incorporated into therapy, dogs can bring multifarious benefits that are not entirely tapped upon. There also exist cultural differences in the perception towards and acceptance of animals which limits the generalisability of western literature. This research aimed to study the effect of animal-assisted therapy, with therapy dogs, on depression, emotional newlineregulation and neuropsychological functioning of individuals. A pretest-posttest experimental research design was used wherein 42 participants were matched and randomly divided into experimental and control groups. Both the groups received therapeutic interventions once a week, for 45 minutes, over a period of 2 months, however, only the experimental group received animal-assisted therapy. Beck Depression Inventory-II, Difficulties in Emotion Regulation Scale newlineand NIMHANS Neuropsychology Battery were used to gauge the level of depression, emotion newlineregulation and neuropsychological functioning before and after the intervention. The findings reveal that both the experimental and control group saw a significant improvement in their level of depression and emotion regulation, however, only the experimental group showed a significant improvement in all the measured domains of neuropsychological functioning. No newlinesignificant changes were observed in the domains of neuropsychological functioning of the control group. The results help validate the animal-assisted therapy interventions provided to improve the individuals neuropsychological functioning, and emotion regulation and alleviate depression. Further implications are identified and discussed as per the results. -
Anomaly detection in online social media
Online Social Media (OSM) is a platform where users post opinions, discussions, product reviews, random thoughts, advertisements, comment exchanges and status updates.These platforms help in text mining applications such as prediction of election results, newlinestudying global mood trends, public perception of a national concern or an issue, mining of public health knowledge, detecting epidemics and business analytics. These newlineapplications also present some research challenges like personal data stealing, community phishing, hate speeches, spreading misconceptions, cyber bullying and terror attack planning. Some of these challenges are anomalies or outliers which don t conform with the majority ones. The anomalies focused in this research work are behavioral and content anomalies. Data preprocessing for textual data from OSM plays an important role for creation of the Vector Space Model (VSM) which is used as an input for behavioral and content anomaly models. The contents posted by the public in OSM is written using natural language and sometimes may not follow the formal communication mode. It has lexical, newlinesemantic and syntactic ambiguities and becomes a challenging task to extract accurate information and discover logical patterns during the text mining process. Some of the commonly used methods for text mining are, Bag of Words (BoW), N-grams and Term newlineFrequency-Inverse Document Frequency (TF-IDF). Few limitations of these techniques newlineare, high dimensional sparse feature vectors, missing contextual meaning, presence of newlineweak features and Part of Speech ambiguity. In this research study, an improvised Feature Engineering model is proposed which is a combination of Forward Scan Trigrams and weighted TF-IDF to address the creation of an efficient Vector Space Model (VSM). This proposed model is used with an improvised Feature Hashing technique to address the removal of weak features. -
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Antecedents and Consequences of Green Marketing Orientation in Automobile Industry : A Customer-Based Corporate Reputation Mediation Model
This dissertation presents a study that explores the influence of social cost and green innovation on environmental justice and their impact on green marketing. It also examines the role of customer-based corporate reputation as a mediator between customer cost-benefit (CCB) and customer loyalty. The research was conducted using a sample of 382 hybrid and electric vehicle owners in three major cities in India. The findings indicate that green innovation, social cost, and environmental justice significantly contribute to green marketing orientation. Moreover, green marketing orientation positively affects corporate reputation, which subsequently enhances customer loyalty and purchase intention. The study underscores the significance of implementing newlinesustainable and responsible business practices and developing effective green marketing strategies to gain a competitive edge in environmentally conscious markets. newlineThe outcomes of this study have practical implications for automobile companies, newlineoffering insights on how to enhance corporate reputation and customer loyalty through green newlinemarketing strategies. Additionally, future research may explore the moderating effects of cultural and contextual factors on the relationship between antecedents, green marketing orientation, and desired outcomes. newlineOverall, this research contributes to the existing body of knowledge on green newlinemarketing and corporate reputation. It emphasizes the need for automobile companies to adopt a more sustainable and responsible approach in their business practices, aligning with the growing environmental concerns and expectations of consumers. -
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Antecedents and consequences of overconfidence bias of stock market investors in Kerala
Keeping in mind the dynamic changes that have been taking place in the Indian stock market, since the emergence of technology, the advancement of the internet even into the remote regions of the country and active involvement of regulators like SEBI, the proposed study is designed to determine the antecedents of overconfidence bias of stock market investors and its consequences on their investment activities. -
Antecedents and Outcomes of Employee Engagement : A Study on Employees in Travel Organizations
Employee engagement is becoming very vital in the recent years because organizations with engaged employees tend to out-perform than employees who are disengaged. The outcomes of engaged employees are higher performance, lower turnover, increased profitability and many more. However there are some industries ignorant and neglect the importance of having engaged employees. Hence it is necessary to conduct more research on employee engagement which create more awareness to the organizations about the prominence of focusing on employee engagement and also augment to the existing literature. The study was conducted on a sample size of 433 employees working in travel organizations set up in Bengaluru and tested the relationship of psychological climate and psychological capital (antecedent variables) has on employee engagement and in turn its newlinerelationship with organizational citizenship behavior and intent to stay (outcome newlinevariables). The study also tested the mediating relationship of employee engagement newlinebetween the antecedent and outcome variables. Results indicated that psychological newlineclimate and psychological capital has a significant and positive relationship on employee engagement and with respect to outcome variables it was determined that higher the engagement level it leads to higher level of organizational citizenship behavior and intent to stay. Results of the study also indicated that employee engagement mediates the relationship between the antecedent and outcome variables. -
Antecedents of Behavioural Intention : Study of Indian Consumer Perceptions Towards P2P Lending Using Technology Adoption Model
Fintech is a rapidly developing area of the financial services business where tech-focused startups and other new players are upending how the sector has historically operated. One of the emerging fintech areas under digital lending is Peer to Peer lending or (P2P) lending; Consumers and authorities are both showing interest in this alternative lending innovation. Results of a literature review show that India is still in the early stages of P2P lending research. The study examines the association between behavioural intention to use P2P lending in India and technological and personal adoption factors. The study model was developed with the help of a literature review and tested using data from 536 respondents who completed an online survey and was tested using covariance-based structural equation modelling (SEM). The results confirm that personal innovativeness, performance expectancy, hedonic motivation, effort expectancy, social influence, and perceived risk are the antecedents of the adoption of P2P lending, except for facilitating conditions and price value. In addition, gender moderates the relationship between performance expectancy, hedonic motivation, personal innovativeness, and intention to adopt P2P lending. The study also throws light on the perceptions of both users and non users in terms of the antecedents. The study's conclusions significantly impact the P2P lending industry and provide practical insights for developers, platforms and regulators to improve and enhance the service. The study suggests looking at other moderating factors like age, voluntariness, experience, and actual usage behaviour for further research. Overall, the research contributes to the academic literature by confirming the predictive power of the extended unified theory of acceptance and use of technology (UTAUT). It highlights personal innovativeness after performance expectancy and motivation as an important factor in predicting the usage of P2P lending. Finally, the study lists managerial implications in the domains of technological adoption, which will assist in the P2P lending long-term success in India. -
Antecedents of psychological capital and its consequences on affective commitment and psychological wellbeing
Jharkhand Education Board stakeholders face the problem of dealing with the educational environment, thereby escalating a teacher's morale. To address this situation, a positive mindset in education, particularly among teachers, is desirable. Hence, based on positive psychology discipline, conservation of resource theory, and broaden and build theory, the study was carried out using a sequential explanatory mixed-method study design. The research questions addressed in the study were as follows: To what extent can the categories of proactive personality, emotional intelligence, servant leadership, and perceived organizational support predict PsyCap of teachers? To what extent will PsyCap predict the categories of affective commitment and psychological wellbeing? I considered both quantitative and qualitative methods; hence, this study had two phases. In the first phase, the data was gathered from 722 teachers using the survey instruments. The statistical analyses performed were Confirmatory Factor Analysis and Structural Equation Modeling with the software SPSS 20.0 and AMOS 20.0. For teachers of rural Jharkhand, the study found that psychological capital has three dimensions. Besides proactive personality, emotional intelligence, and servant leadership also impact psychological capital. Further, psychological capital affects affective commitment and psychological wellbeing. In the second phase, this study examined the way and the reason behind the functioning of the antecedents of psychological capital using qualitative content analysis. The results offered a comprehensive understanding and identification of the antecedents that form rural teachers' psychological capital. Implications of the research include recommendations for recruiting teachers with higher levels of psychological capital and professional development through in-service teachers' training with a specific focus on psychological capital. -
Antecedents of Psychological Capital and Its Consequences on Affective Commitment and Psychological Wellbeing
Jharkhand Education Board stakeholders face the problem of dealing with the educational environment, thereby escalating a teacher's morale. To address this situation, a positive mindset in education, particularly among teachers, is desirable. Hence, based on positive psychology discipline resource theory conservation, and broaden and build theory, the study was carried out using a sequential explanatory mixed-method study design. The research questions addressed in the study were as follows: To what extent can the categories of proactive personality, emotional intelligence, servant leadership, and perceived organizational support predict PsyCap of teachers? To what extent will PsyCap predict the categories of affective commitment and psychological wellbeing? We considered both quantitative and qualitative methods; hence, this study had two phases. In the first phase, the data was gathered from 900 teachers using the survey instruments. The statistical analyses performed were Confirmatory Factor Analysis and Structural Equation Modeling with the software SPSS 20.0 and AMOS 20.0. For teachers of rural Jharkhand, the study found that psychological capital has three dimensions. Besides proactive personality, emotional intelligence, and servant leadership also impact psychological capital. Further, psychological capital affects affective commitment and psychological wellbeing. In the second phase, this study examined the way and the reason behind the functioning of the antecedents of psychological capital using qualitative content analysis. The results offered a comprehensive understanding and identification of the antecedents that form rural teachers' psychological capital. Implications of the research include recommendations for recruiting teachers with higher levels of psychological capital and professional development through in-service teachers' training with a specific focus on psychological capital.