833 research outputs found
Revisiting Articles 141 and 142 : untying the Gordian Knot in Ashish Agarwal and Rajeev Bansal
No full textJudicial decisions, derive their binding nature not merely from their pronouncement but from the principles of law that they decisively establish. This article explores the interplay as well as differences between Articles 141 and 142 of the Indian Constitution, particularly through the lens of the Union of India v. Ashish Aggarwal and Union of India v. Rajeev Bansal cases. Article 141 ensures consistency by mandating adherence to the ratio decidendi of Supreme Court judgments, while Article 142 allows equitable relief to render complete justice, tailored to the peculiar circumstances. The Supreme Court has, however, blurred these distinctions, raising questions about the scope of Article 142 and its compatibility with Article 141
RTA 2012 Proceedings Frontmatter
No full textFrontmatter, Table of Contents, Conference Organization, External Reviewers, Author Index
Eleven Years (2005-2015) of Requirements Engineering (RE) Conference Data on Abstracts, Authors, University-Industry Collaboration, Cross-Reference Field and Dataset Type
No full textThe dataset is collected and used for the study presented in the paper: Insights from Mining Eleven Years of Scholarly Paper Publications in Requirements Engineering (RE) Series of Conferences by Richa Sharma, Peeyush Aggarwal and Ashish Sureka - published in ACM SIGSOFT Software Engineering Notes Volume 41 Issue 2 (March 2016) [http://dl.acm.org/citation.cfm?id=J728]The International Requirements Engineering Conference (RE) [http://requirements-engineering.org/] is a prestigious and a long running conference (started in 1993) in the area of Requirements Engineering. RE 2016 is the 24th edition of the conference. A total of 551 papers are published in RE in 11 years [2005-2015] out of which 425 (77.13%) are in research track and 126 (22.87%) are in industry track. The dataset contains the abstract for all the 551 papers and information on the topic of the paper, internal and external collaboration, university and industry collaboration, authors name and country, cross-referencing fields in the paper, type of dataset used and nature of dataset (public or proprietary). The information in the dataset is organized based on the year and the track (industry or research) of the paper
Eleven Years (2005-2015) of Requirements Engineering (RE) Conference Data on Abstracts, Authors, University-Industry Collaboration, Cross-Reference Field and Dataset Type
No full textThe dataset is collected and used for the study presented in the paper: Insights from Mining Eleven Years of Scholarly Paper Publications in Requirements Engineering (RE) Series of Conferences by Richa Sharma, Peeyush Aggarwal and Ashish Sureka - published in ACM SIGSOFT Software Engineering Notes Volume 41 Issue 2 (March 2016) [http://dl.acm.org/citation.cfm?id=J728]
The International Requirements Engineering Conference (RE) [http://requirements-engineering.org/] is a prestigious and a long running conference (started in 1993) in the area of Requirements Engineering. RE 2016 is the 24th edition of the conference. A total of 551 papers are published in RE in 11 years [2005-2015] out of which 425 (77.13%) are in research track and 126 (22.87%) are in industry track. The dataset contains the abstract for all the 551 papers and information on the topic of the paper, internal and external collaboration, university and industry collaboration, authors name and country, cross-referencing fields in the paper, type of dataset used and nature of dataset (public or proprietary). The information in the dataset is organized based on the year and the track (industry or research) of the paper
Structural Modeling on PSiOS
No full textIn this thesis, an integrated system model is germinated for the structure of the privacy
and security of iOS (PSiOS) devices with the help of the Matrix Algebra and Graph
Theory to compare the Graphs. Firstly, the structure of the PSiOS is sculptural using
Graph Theory, secondly using Variable Adjacency Matrix and last by a polynomial
which is known as Permanent Function. In terms of Storage Optimization and execution
time of a program, the Permanent Function provides a chance to effectuate the structural
Analysis of PSiOS by comparing the properties of PSiOS with it. To germinate the Graph
Model, Matrix Model and a polynomial permanent model, antithetic structural attributes
of the PSiOS are identified. For the complete analysis of PSiOS system, top-down
approach is also exemplified
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
No full textIsaac Macwan (with Shrinivas Bhosale, Ashish Aphale, Miad Faezipour, Priya Bhosale, and Prabir Patra) is a contributing author Computer Assisted Detection of Liver Neoplasm (CADLN), pp.1510-1513
Towards Post Development in India. Lessons of Community Resilience in Times of Crises
No full textAuthor: Ashish Kothari is an Indian environmentalist working on development – environment interface, biodiversity policy, and alternatives. Environment and wildlife have been his passions since high school in Delhi, when (in 1978-79) he helped found Kalpavriksh, a non-profit organisation in India which deals with environmental and development issues. Since then, he has been associated with peoples’ movements like Narmada Bachao Andolan and Beej Bachao Andolan. He is also involved in coordinateing national and global networks like Vikalp Sangam and Global Tapestry of Alternatives
Framework for Addressing Communication Issues in Agile Mode
No full textM.E. (Software Engineering)There are various software development models are used in software industry. The
selection of models is based on the type of software. Agile models are widely used for
developing software in industries. Various types of models have been developed time
to time and consistent work in the field of agile is going on. Different types of agile
models have been developed as extreme programming (xp), adaptive system
development, dynamic system development methodology, scrum etc. These methods
provide quick response to change request, fast and frequent delivery of software
products to customer and immediate feedback. Due to change in market scenario,
these factors have made agile methods more popular than traditional software
development methods.
The problem, in agile methods, arise when distributed team working on different
module of same software. And this problem become more crucial when there is less
focus on documentation. In order to overcome problem, a framework has been
proposed in this thesis. Framework will provide the information that which modules
are connected to current module. So if there is any change request in current module
then the team leader of other module which are related to current module can be
informed immediately
Secure Data Mining in Cloud using Homomorphic Encryption
No full textME, CSEDWith the advancement in technology, industry, e-commerce and research a large amount
of complex and pervasive digital data is being generated which is increasing at an
exponential rate and often termed as big data. Traditional Data Storage systems are not
able to handle Big Data and also analyzing the Big Data becomes a challenge and thus it
cannot be handled by traditional analytic tools. Cloud Computing can resolve the problem
of handling, storage and analyzing the Big Data as it distributes the big data within the
cloudlets. No doubt, Cloud Computing is the best answer available to the problem of Big
Data storage and its analyses but having said that, there is always a potential risk to the
security of Big Data storage in Cloud Computing, which needs to be addressed. Data
Privacy is one of the major issues while storing the Big Data in a Cloud environment.
Data Mining based attacks, a major threat to the data, allows an adversary or an
unauthorized user to infer valuable and sensitive information by analyzing the results
generated from computation performed on the raw data. This thesis proposes a secure kmeans
data mining approach assuming the data to be distributed among different hosts
preserving the privacy of the data. The approach is able to maintain the correctness and
validity of the existing k-means to generate the final results even in the distributed
environment
Analysis of single nucleotide polymorphisms using molecular affinity separation and mass spectrometry
No full textSingle nucleotide polymorphisms (SNP) constitute the most abundant human genetic variations and are important markers for studying interindividual variability with many different techniques having being developed for their study. The use of mass spectrometry (MS) is an attractive detection method for SNP genotyping due to label free detection based on molecular mass, especially for use in diagnostic applications that would require analysis of tens of SNPs in cohorts of individuals. The work in this thesis explores the use of a molecular affinity purification system for improving multiplexing levels of SNP genotyping using MS based detection and approaches for improving its throughput.
The strong molecular affinity between biotin and streptavidin has been employed for isolation of biotinylated oligonucleotides before analysis by MS using the previously developed solid phase capture-single base extension approach. We have been able to genotype up to 50 SNPs simultaneously using two genes from the cytochrome 450 family of genes as model system. These results have demonstrated the utility of the biotin-streptavidin affinity system for highly multiplexed SNP genotyping using MS. Following this, two approaches have been employed to reduce processing time and improve throughput of the technique. First, we have used monomeric avidin coated microbeads to fabricate a device that leads to a substantial reduction in processing time for the isolation step to ~2 hours, and allows simultaneous processing of multiple samples for genotyping a limited number of SNPs. Additionally, the microbead device can be reused 5 times with a simple regeneration protocol thus acting as a low cost tool for enhancing sample cleanup prior to MS. A second approach involves the use of heat and water for breaking the biotin-streptavidin interaction that allows direct analysis of released fragments by MS. We have shown its utility for reducing processing time after the isolation step substantially, and used it for highly multiplexed SNP genotyping. In concert, these studies demonstrate the feasibility of using the molecular affinity interaction between biotin and (strept)avidin for high throughput genotyping of single nucleotide polymorphisms using MS.Ph.D.Includes bibliographical references (p. 73-78)by Ashish Misr
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