1,599 research outputs found
Caste, gender, power, and impunity: an interview with V. Geetha
No full textV. Geetha is a feminist activist, scholar and publisher based out of Chennai. In this interview she explores the intertwined concepts of caste, gender and power, their significance in determining the socio-political capital of persons and groups, how they decide access to education and employment (hence, class), and the ability to interact with the state, assume power or be delignated from it. She elicits several examples of violence, massacres, sexual assaults against Dalits in which caste positionality allowed serious crimes to go unpunished, even unrecognized. Drawing upon the rich tradition of Dalit scholarship and Dalit feminism, V. Geetha elaborates on the culture of civic and state sexual impunity in South Asia
Data privacy in knowledge discovery
No full textThis thesis addresses data privacy in various stages of extracting knowledge embedded in databases. Advances in computer networking and database technologies have enabled the collection and storage of vast quantities of data. Legal and ethical considerations might require measures to protect an individual's privacy in any use or release of the data. In this thesis, we address the problem of preserving privacy in the two following cases: (1) in distributed knowledge discovery; (2) in situations where the output of a data mining algorithm could itself breach privacy. We present results in two different models, namely secure multiparty computation (SMC) and differential privacy. The first part of the thesis presents privacy preserving protocols in the SMC model. Secure multiparty computation involves the collaborative computation of functions based on inputs from multiple parties. The privacy goal is to ensure that all parties receive only the final output without any party learning anything beyond what can be inferred from the output. Within this framework we address the problem of preserving privacy in the preprocessing and the data mining stages of knowledge discovery in databases. For the preprocessing stage, we present private protocols for the imputation of missing data in a dataset that is shared between two parties. For the data mining stage, we introduce the notion of arbitrarily partitioned data that generalizes both horizontally and vertically partitioned data. We present a privacy-preserving protocol for k-means clustering of arbitrarily partitioned data. We also develop a new simple k-clustering algorithm that was designed to be converted into a communication-efficient protocol for private clustering. The second part of the thesis deals with privacy in situations where the output of a data mining algorithm could itself breach privacy. In this setting, we present private inference control protocols in the SMC model for On-line Analytical Processing systems. In the differential privacymodel, the goal is to provide access to a statistical database while preserving the privacy of every individual in the database, irrespective of any auxiliary information that may be available to the database client. Under this privacy model, we present a practical privacy preserving decision tree classifier using random decision trees.Ph.D.Includes abstractVitaIncludes bibliographical referencesby Geetha Jagannatha
Switching Equivalence in Symmetric n-Sigraphs-V
No full textIntroducing a new notion S-antipodal symmetric n-sigraph of a symmetric n-sigraph and its properties are obtained. Also giving the relation between antipodal symmetric n-sigraphs and S-antipodal symmetric n-sigraphs. Further, discussing structural characterization of S-antipodal symmetric n-sigraphs
A dangerous but powerful idea - counter acceleration and speed with slowness and wholeness
No full textThe dangerous idea is that school reform, in India in particular, but across the world too, is impossible. Changing education, at the systemic level or at the institutional or school level, or educating teachers and school leaders in change can be classified as largely first order change - that of school improvement, which involves doing more of the same but doing it better (where the focus is on efficiency) and that of school re-structuring, which involves re-organising components and responsibilities (where the focus is on effectiveness). Geetha Narayanan is Principal Investigator with Project Vision at the Centre for Education Research Training and Development (CERTAD) within the Srishti School of Art Design and Technology in Bangalore, India. She has dedicated her career to finding and establishing new models of education that are creative, synergistic and original in their approach to learning. Read the article and listen to audio of the author discussing her ideas
Tetranchyroderma hystrix Remane 1926
No full textTetranchyroderma hystrix Remane, 1926 Records from India. KERALA: Neendakara—Rajan & Nair (1979). Habitat. It has been recorded in well sorted sand with grain size ranging mostly from 295 to 592 µm Remarks. This species has been recorded by Rajan & Nair (1979) from Kerala in their ecological work, along with other gastrotrichs species and meiofauna. There is no drawing and other taxonomic data of this species provided by them or any other author from India. Consequently, we consider this species finding as a doubtful record that require more evidence to prove the presence of this species on the Indian coast.Published as part of Chatterjee, Tapas, Priyalakshmi, Geetha & Todaro, M. Antonio, 2019, An annotated checklist of the macrodasyidan Gastrotricha from India, pp. 495-510 in Zootaxa 4545 (4) on page 503, DOI: 10.11646/zootaxa.4545.4.3, http://zenodo.org/record/261830
Introduction to Photocatalytic Hydrogen Production
No full textNowadays, one of the major academic and technological challenges we face is the search for a sustainable source of clean energy. The need to convert solar energy into a form suitable for everyday use has triggered intense research in this field. The conversion of solar energy into chemical energy with the formation of renewable fuels through green processes has significant advantages over traditional methods. In this scenario, the photocatalytic production of H2 from pure water or from aqueous solutions containing suitable sacrificial agents represents one of the most attractive methods since it can be carried out in mild conditions (ambient pressure and temperature). In this chapter, we describe the principles of photocatalytic H2 production, the most used sacrificial agents, and photocatalytic systems together with techniques for improving photocatalyst efficiency. Even if there are numerous strategies to obtain a better efficiency of the photocatalyst, and consequently of the whole process, most of them have the purpose of decreasing the recombination of the photo-produced electrons and holes, thus increasing the number of those available on the photocatalyst surface for the reactive steps
Complete Ranking of Intuitionistic Fuzzy Numbers
No full textAbstractFuzzy number was introduced by Dubois and Prade [10] to handle imprecise numerical quantities. Later it was generalized to intuitionistic fuzzy number by Burillo et al. [5]. Ranking intuitionistic fuzzy numbers plays an important role in decision making and information systems. All over the world many researchers have proposed different score functions for ranking intuitionistic fuzzy numbers but unfortunately every method produces some anti-intuitive results in certain places. A complete ranking on the entire class of fuzzy numbers have been achieved by W. Wang, Z. Wang [22] using upper dense sequence defined in (0,1]. But a complete ranking on the set of all intuitionistic fuzzy number remains an open problem till today. Complete ranking on the class of intuitionistic fuzzy interval number was done by Geetha et al. [13]. In this paper, total ordering on the entire class of intuitionistic fuzzy number (IFN) using upper lower dense sequence is proposed and compared with existing techniques using illustrative examples. This new total ordering on intuitionistic fuzzy numbers (IFNs) generalizes the total ordering defined in W. Wang, Z. Wang [22] for fuzzy numbers (FNs)
Distributed context aware dynamic adaptation model for knowledge assessment in E-Learning system
No full textThe objective of the work is to propose a context driven dynamic adaptation model for knowledge
assessment in E-Learning system through software as component. Most of the existing models deployed for Knowledge Management have focused on the contents of the assessment while giving less emphasis to the context with which the assessment services are to be rendered. A timed automaton has been proposed to accept the user requests for services navigating through the different rules resulting in a change in the behavioral states. The various states are then rewritten according to the runtime policy of application incorporating the uncertainties pertaining to the nature of services, content, time and policy changes. This context driven approach considers the nature of the application and its content along with the run time policy of different applications. An architectural framework with dynamic adaptation model has been implemented using PHP and MySQL Server and extensive testing has been carried out. Interesting inferences have been observed in terms of
the session time and rewriting rules
Isolation of Bioactive Compounds from Phyllanthus Emblica (Indian Gooseberry)
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
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