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Indradhanush
Benčíková, Barbora ; Bačíková, Alžběta (referee) ; Šrámek, Jan (advisor)
The artpiece name is "Indrahanush" which is name of fictional character. The piece is made from videos in documentary form with focus on sexuality and love in India, about liberalisation a deliberalisation of sexuality and love, problematics of prostitution and problematic about the women social status in a cotext of social statitification- so called casts.
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Chandigarh - Indian dream of the city
Spilková, Klára ; Tichý, Jan (referee) ; Pavlovský, Tomáš (advisor)
This Bachelor’s Thesis deals with the creation and development of the Indian city of Chandigarh, built on the green field. Its creation was necessitated by major political problems related to the establishment of India as a sovereign nation. The first part explains architectural and urban principles of the world-famous architect Le Corbusier, who was the author of the Master Plan of Chandigarh. Subsequently, the creation and development of Chandigarh is laid out, up to the present. The practical section compares Chandigarh with Amritsar, a traditional Indian city, followed by a study of the present state of selected city sectors, together with an analysis of the land use. The purpose of the Thesis is to present the problems of city construction on the green field, including an analysis of functionality. Given that there is as yet no Czech work dealing with the creation, development, and present state of Chandigarh in a similar extent, this work might be found useful.
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The use of artificial intelligence methods for time series prediction
Tripathi, Ankit
Financial market analysis and prediction have been topics of interest to traders and investors for decades. This thesis presents a comprehensive study on time series forecasting in the dynamic financial market of India, utilising a decade of historical data from Reliance Company's stock prices. The research encompasses three key components: bibliometric analysis for the domain globally, comparative evaluation of time series prediction methods in Indian markets, and implementation of a pre-processing approach incorporating economic factors on the selected models. Every section builds upon the collected information in the preceding section. The bibliometric analysis was used to establish an understanding of prevailing trends in time series forecasting techniques and answer relevant questions in the context of Indian markets to narrow down the scope of the study. This has been done by analysing 2202 documents ranging from the period of 1994-2023 consisting of articles, book chapter, review, book, note and letters in the English language only. The results help in the formation of a different perspective while understanding the overall intellectual landscape of the domain with subsections focusing on field leaders, author's productivity, uprise in domain based on publications and citations, the underlying pattern behind shifts in research areas based on authors keywords and publications that have impacted the domain significantly. The analysis extends beyond academic literature to include patents, providing a real-life state-of-the-art perspective. The results from bibliometrics have been used to select models for comparative analysis. The analysis assesses the performance of diverse time series prediction methods like deep learning algorithms (Long short-term memory model (LSTM)), traditional statistical models (Auto Regressive Integrated Moving Approach (ARIMA)), and advanced ensemble learning algorithms (XGBoost and FB-Prophet) using real-world data from the Indian financial market. The stock prices of Reliance Company serve as a case study, enabling a thorough evaluation of predictive accuracy and errors of the models. Simultaneously, a pre-processing approach has been proposed and implemented, integrating significant economic factors (Gold Price, USD to INR conversion, Consumer Price Index, Indian 10-year yield bond, and Wholesale Price Index) and evaluated with technical metrics (Mean squared error, Mean Absolute Error, R2 Score). The study investigates how the inclusion of these factors impacts prediction accuracy across the selected time series prediction methods. The comparative evaluation of models before and after the pre-processing method sheds light on the evolving predictive accuracy of LSTM, ARIMA, FB-Prophet, and XGBoost. This analysis provides valuable insights into the influence of economic factors on each method's performance. The study showed that the SARIMAX (extension of ARIMA with seasonality and exogenous factors) and XGBOOST performed relatively well with the proposed approach while LSTM with 80% training and FB prophet did not perform as expected in Indian financial markets. This research contributes to advancing the understanding of time series forecasting in the financial market of India, offering practical insights for decision-makers and researchers.
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Infekční nemoci a problematika sanitace na příkladu vybraných regionů Indie
Krupicová, Vendula
The bachelor's thesis deals with infectious diseases and poor sanitation in India. Epidemiological and demographic transitions are described in the thesis, which is followed by specific cases of the disease in India and the sanitation situation. The theoretical part is divided into a general overview of theories and then into the inclusion of India in the framework of epidemiology. The third part deals with the sanitation situation in the country and compares the access to sanitation between rural and urban areas, mentions the consequences of poor sanitation and evaluates some government measures as a solution to the sanitation situation. In the fourth part, two case studies are mentioned, which will specify the situation in selected regions of India in more detail. The practical part deals with interviews with experts who have been in the state of Jharkhand, and experts who compared the situation in the Czech Republic and India. The discussion and conclusion containing a summary, fulfilment of goals and suggestions for future additions.
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Competitiveness of the Indian economy
Goyal, Ishaan
This thesis aims to investigate the determinants of competitiveness of the Indian economy and how they contribute to its performance in the global economy. The study will analyse five crucial factors: the legal system, human capital investments, technical improvements, well-established transportation networks, and trade ties. The research will use metrics such as the Liner Shipping Connectivity Index, Active Working Population, Research and Development Expenditure, and Trade. The study's primary objective is to identify, assess, and discuss the significant factors that influence the competitiveness of the Indian economy and how well it performs in the global economy. The specific objectives of this research include evaluating the framework and development of the Indian economy historically, looking at various aspects of competition relating to the Indian economy, highlighting and evaluating the important factors affecting India's competitiveness, looking at how these factors interact and affect India's competitiveness, and providing policy recommendations that can enhance the Indian economy's competitiveness and standing in the global marketplace.
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The Omission of Coercion: A Framing and Source Analysis of the Media Coverage of Religious Conversions in India
John, Arshu ; Neag, Annamária (advisor) ; Lábová, Sandra (referee)
In India, the phenomenon of religious conversion is a deeply political act, rooted in a history of caste discrimination, Hindu nationalism and religious conflicts. Despite a constitutional protection of the freedom of religion, conversions rarely seen as a personal decision, especially when it concerns Hinduism. A pre-Independence, majoritarian resistance to conversions have persisted, and manifested in numerous anti-conversion laws that prescribe a protectionist caution to conversions. Since the election of Narendra Modi and the Bharatiya Janata Party in 2014, Hindu nationalism-or Hindutva-has seen a sharp surge across social, political and public spheres. Under Modi, India has also witnessed a drop in press freedom in the country. This paper studied the media coverage of religious conversions in India during Modi's first term, from May 2014 to May 2019. It adopted a frame analysis and source analysis to study 250 articles from four mainstream English newspapers-Times of India, Indian Express, The Hindu and The Telegraph. The analysis found the 'Conflict' frame and the political elite sources remained most prevalent. However, the analysis also pointed to the role of Hindu nationalism in the media coverage of religious conversions.
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Postavenie žien v Indii
Pastuchová, Martina
Martina Pastuchova: The status of Women in India, diploma thesis, Mendel University, Faculty of Regional Development and International Studies, Department of Languages, Supervisor: Mgr. et Mgr. Miroslav Horak, Ph.D ., Degree of professional qualification: Engineer (Ing.), Brno, 2016, 98 p. This thesis deals with the role of Indian women in society, their rights, gender inequality and the impact of religion on their status. The aim of this work is to refer the real situation of women in India and their struggle to improve and implement women´s rights, among other ways also through Gulabi Gang movement. The work is divided into theoretical and practical part. The theoretical part deals with the legal status of women in India, gender inequality in politics, education and religion. The practical part is focused on civic society group Gulabi Gang and contains also a development project proposal for a community centre for Gulabi Gang.
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Essays on Environmental and Health Economics
Kyrychenko, Olexiy ; Gaule, Patrick (advisor) ; Fichera, Eleonora (referee) ; Mohnen, Myra (referee)
Essays on Environmental and Health Economics Olexiy Kyrychenko Abstract In the first chapter, we examine the impact of temperature on manufacturing production in India and the underlying mechanisms. Using plant-level manufacturing data and satellite- based temperature estimates from 1998-2007, we find that the relationship between temperature and output exhibits an inverted U-shape, with especially large losses occurring at extreme cold and hot temperatures. Such nonlinearity provides valuable insight into the potential welfare consequences of climate change. Back-of-the-envelope calculations suggest that a 1řC shift in the annual distribution of daily temperature would lead to net losses in manufacturing output of 1.3% or USD 0.6 billion, equivalent to a 0.5% reduction in India's GDP 2007 through the manufacturing sector alone. The estimated temperature-output relationship is driven by the joint effects of temperature on total factor productivity and capital. This finding has important implications for adaptation. The manufacturing sector can adapt to changing climate by reducing the sensitivity of labor productivity to temperature and by making investments in machinery. Labor-related adjustments can also contribute to adaptation by offsetting direct productivity losses or facilitating labor reallocation....
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