135 research outputs found
Moving to the cloud : developing apps in the new world of cloud computing / Dinkar Sitaram and Geetha Manjunath ; technical editor, David R. Deily.
No full textIncludes bibliographical references and index.Book Fair 2013.xxviii, 448 p.
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
Design and Implementation of an Authentication and Authorization Framework for a Nomadic Service Delivery System
No full textInternet has changed our lives. It has made the true distributed computing paradigm a reality. It has opened up a lot of opportunities both in the research domain and in business domain. One can now think of developing software and make it available to the large community of users. Hyper Text Transfer Protocol (HTTP), which was originally developed for the purpose of requesting/transferring content (text, images, etc.), is now a standard for remotely invoking services and getting back results.
The wireless technologies have also matured. 802.11 is the existing standard for wireless communication in a LAN environment. Today, even the small computers like the Personal Digital Assistants (PDA) is wireless enabled. This makes access to information and computing significantly much more convenient.
Hotspot! server has been designed to provide connectivity and services in public places (called hotspots). It acts as a wireless Network Access Server (NAS) to users who want to obtain connectivity and services at public places. We believe that the primary applications that have importance and relevance in public places are Internet Access, and specific context-based or location specific services. These services are deployed by Internet Service Providers. Secure access is one of the primary concerns in public networks. We designed, developed and tested a framework for secure access to HTTP-based services through the Hotspot! server. Internet Access is a special case of a HTTP-based Proxy service
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
Semantic Analysis of Web Pages for Task-based Personal Web Interactions
No full textMobile widgets now form a new paradigm of simplified web. Probably, the best experience of the Web is when a user has a widget for every frequently executed task, and can execute it anytime, anywhere on any device. However, the current method of programmatically creating personally relevant mobile widgets for every user does not scale. Creation of these mobile web widgets requires application programming as well as knowledge of web-related protocols. Furthermore, these mobile widgets are also limited to smart phones with data connectivity and such smart phones form just about 15% of the mobile phones in India. How do we make web accessible on devices that most people can afford? How does one create simple relevant tasks for the numerous diverse needs of every person? In this thesis, we attempt to address these issues and propose a new method of web simplification that enables an end-user to create simple single-click widgets for a complex personal task - without any programming. The proposed solution enables even low-end phones to access personal web tasks over SMS and voice. We propose a system that enables end users to create personal widgets via programming-by-browsing.
A new concept called Tasklets to represent a user’s personal interaction, and a notion of programming over websites using a Web Virtual Machine are presented. Ensuring correct execution of these end user widgets posed interesting problems in web data mining and required us to investigate new methods to characterize and semantically model browser-based interactions. In particular, an instruction set for programming over web sites, new domain-specific similarity measures using ontologies, algorithms for frequent-pattern mining of web interactions and change detection with a proof of its NP-completeness are presented. A quantitative metric to measure the interaction complexity of web browsing and a method of classifying relational data using semantics hidden in the schema are introduced as well. This new web architecture to enable multi-device access to user's personal tasks over low-end phones was piloted with real users, as a solution named SiteOnMobile, and has received very positive response
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
Machine learning for breast cancer diagnosis in developing countries
No full textBreast cancer is one of the leading causes of cancer deaths among women all over the world. Use of conventional imaging such as mammography, ultrasound and magnetic resonance imaging has shown reduction in mortality rates of breast cancer, especially in developed countries. However, implementing conventional imaging in developing countries poses challenges of high equipment cost and requirement of high-skilled staff. Embarrassment to undress in front of a technician for imaging is also found to be a barrier in developing countries like India. This thesis reconsiders infrared thermography as an imaging modality for breast cancer detection since it has advantages of being low-cost, portable, non-invasive, radiation-free and privacy aware imaging, where technicians need not see the undressed woman. However, manual interpretation of breast thermography had earlier produced low accuracy if not interpreted by a skilled thermographer and there are stringent warnings on its usage. This thesis proposes an end-to-end automated system with machine learning to alleviate the subjectivity in interpretation and to improve the accuracy of breast cancer detection. The proposed system is designed to improve clinician interaction with the help of interpretable features, annotated images and a cyclic feedback between the expert and different modules in the proposed system
Artificial Intelligence over Infrared Images for Medical Applications:Second MICCAI Workshop, AIIIMA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2, 2023, Proceedings
No full textThis book constitutes the refereed proceedings of the Second Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2023 held in conjunction with MICCAI 2023, held in Vancouver, BC, Canada, on October 2, 2023.The 10 full papers presented in this book were carefully peer reviewed and selected from 15 submissions. The second workshop on AIIIMA, similarly to the first, aims to create a forum to discuss the specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research, that has the potential to hugely impact our society, among the research community
Artificial Intelligence over Infrared Images for Medical Applications:Second MICCAI Workshop, AIIIMA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2, 2023, Proceedings
No full textThis book constitutes the refereed proceedings of the Second Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2023 held in conjunction with MICCAI 2023, held in Vancouver, BC, Canada, on October 2, 2023.The 10 full papers presented in this book were carefully peer reviewed and selected from 15 submissions. The second workshop on AIIIMA, similarly to the first, aims to create a forum to discuss the specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research, that has the potential to hugely impact our society, among the research community
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