Browse Items (1473 total)
Sort by:
-
-
-
Impact of Traditional Practices on Domestic Violence among the Women of the East Khasi Hills
Khasi hills is situated in the northern part of India. Many issues of domestic issues are reported in this area. The reasons, intensity or frequency of domestic violence varies according to the cultural background and socio-economic class. In many societies, women face a lot of issues associated with the culture and traditional practices of that community. According to certain traditional practices followed in societies, women are expected to conduct herself according to what has been taught and practice for generations. Violations of those norms lead to severe consequences. Domestic violence is also an outcome of such norms followed in the society. Therefore, the present study focuses on understanding the traditional practices followed in the Khasi community and its effect on domestic violence. For the study, the researcher selected 150 women from East Khasi Hills Districts. A descriptive research design is used for the study. Convenient sampling method was used along with a close-ended questionnaire for gathering information. Descriptive statistics, Man-Whitney test, Chi-Square, Spearman Correlation were used for analysis of the different traditional practices and type of domestic violence. The research finding indicates that women in the Khasi hills faced physical and psychological violence, in which psychological violence is found to be more prominent. Inheritance is one of the factors that have a significant impact on domestic violence. The traditional practices followed by the Khasi community is a reason for women being abused by their spouse. Effective intervention programme and Capacity Building for different Stakeholders on the different causes and preventive measures on incidence of domestic violence can bring about positive change in matters related to domestic violence towards women in the state of Meghalaya. -
Impact of values and psychographic traits on compulsive buying behaviour in fast fashion brands
The Fast Fashion is emerging as a rapidly growing category in the Indian garment retailsector. Fast Fashion provides the latest trendy fashionable affordable clothing to consumersmultiple times in a year. The pressure of fast fashion influences the buying behavior ofconsumers resulting in compulsive purchasing tendencies (Johnson & Attmann, 2009). Theresearch study focuses on the compulsive buying behavior of Fast Fashion brand consumers.In India, Fast Fashion is emerging as an important and growing category in the garment retail. Because of rapid fashion cycles, what is ???in??? is always changing, causing consumers to feel pressure to continually update their wardrobes (Cwerner, 2001).Compulsive buying consumers buy more frequrntly without controlling their the urge to purchase(Muller, et al., 2015). The significant percentage of fast fashion buyers qulify as ???excessive shoppers??? and this international phenomenon is spreading around the world. (Greenpeace International, 2017). Shopping for clothes reflect broader values (Tatzel, 1982) and for the retailers to be successful the knowledge of consumers about culturally-defined values is important (Hyllegard et al., 2005).The extensive review of literature shows that there is a lack of research both in academic and marketing aspects regarding Compulsive buying behaviours of Fast Fashion consumer with respect to value psychographic traits. The objective of the research study is to understand the effect of Values on Compulsive Buying Behaviour of Fast Fashion Brands and to analyse the mediating vi effect of Psychographic Traits (Fast Fashion involvement, Fashion???Consciousness and Innovativeness) on Compulsive Buying Behaviour.The study used List of value (LOV) Scale to find the impact of consumer values on compulsive buying behaviour. The psychographic traits are used as intervening variable. The survey is conducted for participants aged 18-25 yrs. Analysis of data is done using Factor analysis, Anova, Multiple Regression. The study will help marketer of Fast Fashion clothing to frame their product and communication strategy in such a way that it appeals to the consumers with required psychographic traits and values. -
Impact on economic activities by adoption of international financial reporting standards by Indian companies
The importance of international accounting practice studies has grown over the past few years in order to meet economic agent demands and to facilitate international business practices. It is essential to understand that international accounting convergence is an important topic for capital market regulators, investors, markets, governments and all others who deal with financial information of public companies. This brings out the importance of accounting as being an essential fiscal tool for various economic agents. The merit of international accounting convergence lies in its ability to minimize negative effects resulting from diversity of accounting practices in different countries (Cordeiro et al. 2007). In such a scenario, the introduction of International Financial Reporting Standards (IFRS) for listed companies in many countries around the world is viewed as one of the most significant regulatory changes in accounting history (Daske et al. 2008). -
Implementation of a speech recognizer and synthesizer for the physically challenged
Speech Recognition and Speech Synthesis are two complementary technologies that are used in systems to which the human voice serves as input or output. People with physical, motor disabilities prefer systems that can be driven by their voice than using the strenuous, usual and standard input-output devices such as keyboard, mouse and monitor. Solutions under the umbrella of “Assistive Technology” are designed to support people with disabilities to overcome the difficulties in handling their diurnal chores. Present-day commercial speech processing systems have received wider customer acceptance, yet not suitable for people with speech disabilities. It is observed that present-day speech recognizers fail to recognize voices with distortions, misrepresentations and deformations. The unintelligibility of the input voice limits the use of off-the-shelf speech processing products by the speech-impaired user community. In such scenarios, the speech processing systems require alterations to become suitable for the specialised user group. Techniques of adaptation are popular in the field of speaker recognition, which can be applied in the domain of Augmentative and Alternative Communication (AAC). The main aim of this research is to model a speaker adaptive system for the speech-disabled users with articulation disorders and neurologically-based disorders due to illnesses like cerebral palsy. -
Implementation of speech recognizer and synthesizer for the physically challenged
Speech Recognition and Speech Synthesis are two complementary technologies that are used in systems to which the human voice serves as input or output. People with physical, motor disabilities prefer systems that can be driven by their voice than using the strenuous, usual and standard input-output devices such as keyboard, mouse and monitor. Solutions under the umbrella of Assistive Technology are designed to support people with disabilities to overcome the difficulties in handling their diurnal chores. Present-day commercial speech processing systems have received wider customer acceptance, yet not suitable for people with speech disabilities. It is observed that present-day speech recognizers fail to recognize voices with distortions, misrepresentations and deformations. The unintelligibility of the input voice limits the use of off-the-shelf speech processing products by the speech-impaired user community. In such scenarios, the speech processing systems require alterations to become suitable for the specialised user group. Techniques of adaptation are popular in the field of speaker recognition, which can be applied in the domain of Augmentative and Alternative Communication (AAC). The main aim of this research is to model a speaker adaptive system for the speech-disabled users with articulation disorders and neurologically-based disorders due to illnesses like cerebral palsy. The problem context for this research work is two-fold: accepting the incomprehensible speech input and transforming the same into a more understandable speech. The first portion is to adapt a speech recognizer and verify the recognition accuracy; the second portion is to substitute the recognized words with a better- comprehensible voice. Due to the medical requirements of the research subjects, collecting and using live speech data of individuals is an onerous task with complex infrastructure. Also, the collection and storage of patients data are restricted by ethical procedures. Hence, the data created by various Universities, following the standard procedures in a noise-free environment are used for this research work. Experiments are conducted on the voice data sets in order to improve the recognition accuracy for speakers uttering individual words. The Speech Recognizer is implemented using Hidden Markov Models and Speech Synthesizer is implemented using a pattern-searching algorithm on a database with text input and voice output (concatenative synthesis). The adaptation techniques, viz., Maximum Likelihood Linear Regression (MLLR) and Maximum A Posteriori (MAP) are applied in a pipeline with adjusted language model and pronunciation dictionary. This has reduced the Word Error Rates (WER) of recognizing the incoherent speech. In the process of adaptation, the parameters of the acoustic model of a generic speech recognizer are altered using the feature vectors generated from the training data set applying maximum likelihood linear regression. Parameters of this updated model are then used as informative priors to MAP adaptation. Speech Synthesizer, i.e., the Text-to-Speech system then translates the recognized text into a more-intelligible voice which is clearer to the listeners. The simulation with test data sets measured the effectiveness of the combined algorithm proposed here; it produced improvements in recognition accuracy from 43% (for a speaker with 93% speech intelligibility) to 90% (for a speaker with 2% speech intelligibility). An analysis of the improvement in recognition accuracy and speed of recognition for each speaker reveals that the proposed methodology is more effective for severely dysarthric speakers than those with less speech impairments, making the proposed model socially significant. -
IMPLICATIONS OF ALLOWING FDI IN INDIAN MULTI- BRAND RETAIL
The retail industry in India has often been hailed as one of the sunrise sectors in the economy.The Indian government is mulling about allowing FDI in multi- brand retailing. While some people welcome this move, others oppose it. The study tries to identify the opinion of retailers towards this move. The study examines the issues related to various aspects of FDI including, product related, place related, process related, promotion related, people related, price related issues, physical evidence and environmental related issues. Survey research method was followed in this study. Questionnaire was used for collecting primary data. Secondary data is collected from selective sources of data like journals, websites, text books, company brochures, magazines and newspapers. The convenience sampling technique was used. A sample of 200 retailers was selected from the Bangalore city. The statistical techniques which are used in the study include descriptive statistics, frequencies and percentages, reliability test, chi- square test, one- way ANOVA, two- way ANOVA and Correlation. The following were the hypotheses in the study: H1 ?? Agreement on FDI in retail is dependent on the duration of business among the retailers H2 ?? Agreement on FDI in retail is dependent on the level of investment among the retailers H3 ?? There is statistically significant difference on perception on agreement of FDI in retail by various levels of agreed and non- agreed retailers H4 ?? There is statistically significant difference on perception on agreement of FDI in retail by various levels of investments of business among retailers H5 ?? There is statistically significant influence on perception on agreement of FDI in retail based on both agreed level and level of investments H6 ?? There is statistically significant relations among the perceived factors of agreement on FDI in retail among retailers. The major findings of the study was that there is a mixed reaction among the retailerstowards allowing FDI in multi- brand retail, a majority of them seems to directly or indirectly prefer the entry of foreign players. However the respondents prefer a calibrated and cautious approach towards the introduction of FDI thereby safeguarding the interests of small retailers. If FDI is allowed in retail, there could be a multi ?? sector growth. India Inc. can expect a path of growth to achieve its target of 9 per cent GDP growth rate. The new firms that enter the market will get new technology and can acquire competitiveness. . It is estimated that FDI in multi- brand retail will create nearly 10 million job opportunities in the next three to four years. This will help in reducing the countrys unemployment to a large extent. The creation of more jobs will enhance the standard of living of farmers as they would get better returns on their yields by selling directly to the retailers rather than selling it in the intermediaries. FDI will also help in bringing food inflation under control. Key Words: Multi- brand Retailing, FDI, Organized Retailing, Unorganized Retailing -
-
Implications of Goods and Services Tax on Indian Micro, Small and Medium Enterprises
This research explores the impact and provides implications of Goods and newlineServices Tax , a comprehensive indirect tax reform on the growth of Indian newlineMSMEs, the fundamental drivers of economic progress and employment in India. newlineThe purpose is to assess the relationships and impact of the knowledge of GST, newlineInput tax credit (ITC), Revenue neutral rate (RNR), and GST compliance on the newlinegrowth of Indian MSMEs. Also, the research focuses on the interceding role of GST newlinecompliance in the relationship between GST knowledge, ITC, RNR and MSMEs newlinegrowth, as well as to discover facets that impede the implementation of effective newlinetax policies, particularly in the context of MSMEs. This study is based on a Crosssectional Survey with 531 MSME participants who are registered under Regular newlinescheme. Structural Equation Modelling - Partial Least Squares (SEM-PLS) in newlineSmart PLS4 was utilized to examine the relationships amongst the variables, assess newlinethe impact of each variable on the outcome variable, either directly or indirectly and newlineto test the research hypotheses. The results show, GST knowledge, ITC, and RNR newlinehave significant positive effects on GST compliance and on perceived growth of newlineMSMEs. Also, the study found, GST compliance has a complementary partial newlinemediating role in the relation between these factors and perceived growth of newlineMSMEs. Furthermore, GST knowledge, ITC, and RNR have positive effect on newlineperceived MSMEs satisfaction with the GST system. But, the effect of GST newlineknowledge and ITC on perceived satisfaction of MSMEs through GST Compliance newlinewas not significant. This hints that, while knowledge of GST and ITC are important, newlinecomplications in claiming ITC and burdensome compliance requisites can newlineunpleasantly impact compliance and satisfaction with GST. The study also newlineobserved significant variations in perceptions of GST knowledge, ITC, RNR, GST newlineCompliance, MSMEs satisfaction, and MSMEs growth across different newlinedemographic variables. -
IMPORTANCE OF POLITICAL CARTOONS TO NEWSPAPERS
Political cartoons are an important part in any newspaper. Political cartoons adorn a small part of a newspaper, often in a corner. The position of this piece although small the impact is huge. A cartoon conveys a lot of information in very few words. The emotions behind the political cartoons are genuine and although harsh, are taken with a sense of humour. While incomparison editorials are, firstly for the elite masses who understand the highly intellectual content of the piece, also editorials have a tendency to be politically correct and hold back, unlike cartoons. Cartoons are generally blatant about their stand on the issue. There have been controversial cartoons like JyllandsPostenthe Mohammad cartoon and the effective yet less controversial R.K.Laxman. The dissertation will concentrate on how political cartoon are infact one of the most important parts of any newspaper. It will try to understand the effectiveness of political cartoons over editorials. How political cartoons are a means of communication. The researcher will also try to understand how R.K.Laxman and the common man have become symbols for the ??aamaadmi??. The methods of research will include a qualitative analysis of political cartoons by interview and a quantitative analysis by questionnaire method to understand how people perceive cartoons over editorials. The researcher having completed the researcher is in a position to make comments about the effectiveness and popularity of cartoons. -
Importance of political cartoons to newspapers /
Political cartoons are an important part in any newspaper. Political cartoons adorn a small part of a newspaper, often in a corner. The position of this piece although small the impact is huge. A cartoon conveys a lot of information in very few words. The emotions behind the political cartoons are genuine and although harsh, are taken with a sense of humour. While incomparison editorials are, firstly for the elite masses who understand the highly intellectual content of the piece, also editorials have a tendency to be politically correct and hold back, unlike cartoons. Cartoons are generally blatant about their stand on the issue. There have been controversial cartoons like JyllandsPostenthe Mohammad cartoon and the effective yet less controversial R.K.Laxman. -
-
Improved Deep Learning Model for Detection and Classification of Pneumonia from X-Ray Images
Pneumonia is a severe respiratory disease that can lead to inflammation, fluid accumulation in lungs and breathing difficulties, which needs immediate and accurate diagnosis. Chest X-Ray images are a necessary tool to diagnose pneumonia because manual interpretation poses challenges, particularly for radiologists with less expertise. Artificial intelligence (AI), specifically Convolutional Neural Networks (CNNs), has become a significant in the field of pneumonia detection within chest X-Ray images in recent years. This research presents SarNet, a neural network model developed for the identification of pneumonia in chest X-Ray images. The study involved the compilation of dataset containing chest X-Ray images categorized as normal, pneumonia, and COVID-19 pneumonia cases, each accompanied by appropriate annotations. This dataset was employed as the basis for training and assessing SarNet's performance, underscoring its promise in transforming the diagnosis of pneumonia. SarNet proved highly effective, achieving good accuracy, sensitivity, and specificity compared to traditional diagnostic methods. The model's simplicity, with 41 layers, strikes a balance between depth and computational complexity, enhancing efficiency and ensuring accurate pneumonia detection. Furthermore, the study expanded its scope to include COVID-19 pneumonia detection. SarNet achieved an accuracy of 99.15% in binary classification and 94.9% in multiclass classification, including healthy, pneumonia, and COVID-19 pneumonia cases. -
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. -
-
In Service Teachers' Diffrentiated Instructional Strategy and Students' Reflective Thinking and Empowered Learning
Every educational program aims at the comprehensive growth and development of learners. Education policymakers and teachers who are part of any education system have a pivotal role in providing an environment that empowers learners. Thinking pervades all spheres of human action and the ability to think reflectively differentiates man from other animals. Psychological theories have proved that, in a classroom, each learner is unique and has different learning profiles, i.e., learning style, intelligence preference, culture and gender. Therefore, one- sized curriculum doesn't fit all. This research was conducted to measure the influence of differentiated instructional strategy of in-service- teachers as a pedagogy on students' reflective thinking and empowered learning. The researcher developed and standardized a module of 16 lesson plans on English grammar and poetry integrating essential components of reflective thinking and empowered learning into differentiated instruction. Randomly selected samples of this research consisted of 100 students of standard 9, boys and girls, from an English medium ICSE school in the urban district of Bangalore. After a try-out of a few lessons on 25 samples, the researcher taught the lessons through differentiated instruction within 3 months. Through control and experimental groups, pre-test and post-test design, data were collected through 2 measuring tools (1) a questionnaire to measure the level of reflective thinking and (2) Learner empowerment measure. Data analysis of the pre and post-test scores of the experiment group shows a significant impact of differentiated instruction on all four components of reflective thinking of students, i.e., Habitual Action, Understanding, Reflection and Critical Reflection; and on the components of empowered learning of students, i.e., Meaningfulness, Competence, Impact and Choice irrespective of the difference in the gender. The results indicate that differentiated instruction could be implemented in schools as an instructional method to include all types of students and respect their diversity. -
Increasing usage of indirect advertisements and its effects /
Advertising is not at all a new term for the contemporary world. Brands have been using advertisements for the promotion and popularity. As an industry which needs a lot of creativity, advertising industry had undergone a lot of changes. According to the time and trend advertising industry found various changes and practised it. Here the researcher is trying to find out the latest trend in the advertising industry. -
INCREDIBLE INDIA TVC AND YOUTH TODAY
The paper deals with the television commercial of Incredible India. It studies whether these advertisements can be used to generate goodwill for the country. Incredible India advertisements are a rare combination of extraordinary words, music and visual. It is an initiative by the Government of India to promote tourism. They are small snippets capturing India at its best. The advertisement frequency is low. But if strategically used can prove beneficial in creating benevolence towards the country. The paper throws light on the negative treatment given to news by todays broadcast media. It analyzes whether the effect of it can be countered by the portrayal of beautiful India in the ??Incredible India advertisements. It studies if the result of viewing this advertisement can lead to overlooking of the flaws of our country. It specially tries to look into the effect that it might have on the youth. The methodology used for this study is experiment based. The researcher initially showed the respondents five television commercials and then followed it by distributing questionnaires which would help learn the consequences of viewing the advertisement. The limitation of the paper was the lack of journals, articles or related materials on the concerned topic. Nevertheless, considering all materials that were present, the research gave a holistic prospective to the advertising campaigns and its effect on the youth.