123 research outputs found
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
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
Investigating the role of ABC transporters in multifungicide insensitivity in Phytophthora infestans
No full text
Tie-Simplex Parameterization of Operator Based Linearization for Isothermal Multiphase Compositional Flow In Porous Media
No full textCompositional flow simulation is the best practise to model the complex enhanced oil recovery process. This involves solving highly coupled and non linear flow, transport equations.Interaction of components within different phases and the fluid interaction with rock properties makes it difficult to accurately predict the natural flow process in the reservoir. Thisdemands for resolution models and accurate representation of flow process with realistic assumptions., which is quite challenging with conventional simulation.The newly proposed Operator based linearization (OBL) approach handles the problem in adifferent way. Governing equations are regrouped using state and space operators. The stateoperators are computed at the nodes of uniform mesh in parameter space and multi- linearinterpolation is performed during simulation. Uniformly distributed supporting points ignorethe underlying physics leading to higher interpolation error around the phase boundary anddemanding higher resolution to achieve the desired accuracy.The objective of “Tie simplex parameterization of Operator-Based Linearization for IsothermalMultiphase Compositional flow in porous media” is to parameterize the compositional spaceby accounting the underlying physics. A set of tie lines captures the phase boundary inparameter space at given pressure and temperature. Tessellation is performed by extendingthe tie lines to the entire compositional space. The supporting points are assigned along theextended tie-lines according to manually designed heuristics. After that, the parameterizedspace is tessellated further using Delaunay triangulation, and barycentric interpolation isperformed within each simplex.The efficiency of the developed approach is demonstrated in comparison with the uniformparameterization using 1D displacement of compositional two-phase fluid. The convergenceof non linear newton iterative solver is studied by applying the OBL framework with newlyproposed interpolation and existing Multi-Linear interpolation framework.Operator-Based LinearizationPetroleum Engineering and Geo-science
Review of Strategies to Mitigate Dust Deposition on Solar Photovoltaic Systems
No full textIn recent years, there has been an increased focus on developing and utilizing renewable energy resources due to several factors, including environmental concerns, rising fuel costs, and the limited supply of conventional fossil fuels. The most appealing green energy conversion technology is solar energy, and its efficient application can help the world achieve Sustainable Development Goal 7: Access to affordable, clean energy. Irradiance, latitude, longitude, tilt angle, and orientation are a few variables that affect the functioning of a solar photovoltaic (PV) system. Additionally, environmental factors like dust accumulation and soiling of panel surfaces impact the cost of maintaining and producing electricity from a PV system. Dust characteristics (kind, size, shape, and meteorological elements), one of the largest factors affecting PV panel performance, need to be investigated to devise specific solutions for efficiently harnessing solar energy. The essential findings of ongoing investigations on dust deposition on the surface of PV structures and various mitigating measures to tackle soiling issues are presented in this review study. This comprehensive assessment critically evaluates the current research on the soiling effect and PV system performance improvement techniques to determine the academic community’s future research priorities
Computer Program on DRIS, MDRIS and CND - Bivariate and Multivariate analyses tools for monitoring the soil and plant nutrient imbalances
No full textIntensive cropping system and indiscriminate use of unbalanced fertilizers aggravates not only the nutrient deficiencies in the soil and plant, but also nutrient imbalances in the crop, which in turn leads to other biotic and abiotic stresses to limit the crop production and deteriorates the soil health. The need of the day is to develop suitable management strategies to diagnose the cause of the nutrient imbalances and relatively visible deficiencies in the crop and the soil. In this context the DRIS and CND nutrient imbalance diagnostic models are most effective tools to serve this purpose. The main limitation of these analyses are the robust computational steps, which may be impossible to perform without the computer software support, when involves more than 4-5 variables. Hence to facilitate the researchers on soil science, computer programs in Visual FOXPRO 6.0 for DRIS and CND are presented in this book along with its subsequent algorithm and proper guidelinesJRC.H.6 - Spatial data infrastructure
Transformation of Fusarium
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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