Abstract

Presence of information from multiple sources on the internet requires evaluating the credibility of the information, before its utilization. Researchers have suggested that internet users experience difficulty in accessing necessary information and do not pay enough attention to its credibility. We present here the design and implementation of an automated Web Credibility Assessment Support Tool (WebCAST) that considers multiple factors (type of website, popularity, sentiment, date of last update, reputation and review based on users' ratings reflecting personal experience) for assessing the credibility of information and returns a summary indication of the credibility of a website. We use Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) method of Multi-Criteria Decision Analysis (MCDA) to give weights to the scale values on each factor, representing the relative importance of the attributes. An empirical evaluation of the tool was conducted by computing the correlation between the tool-generated credibility scores and that of human judges. The correlation was found to be 0.89, thus verifying the validity of the tool. In the future the proposed tool can be made useful to students in their learning process of credibility assessment.

Abstract

This paper is an attempt at a vision, driven by experiences in India, of a set of research and technical challenges for software engineering researchers that stem from critical concerns of scale and variety when designing educational technologies. Educational concerns are the same everywhere. To be holistic, we have to consider points of view of all concerned stake holder groups of educational systems: they are grouped as: {students, teachers, employers, society}, {administrators}, and {managers}. The first group is concerned with the technical content to be transacted through education and its quality and value to them. It is concerned with integrity with the body of knowledge of the subject, constrained by the level at which the subject is to be taught or learnt, further constrained by the time available for a course on that subject - this is a source of variety, as do the different languages of instruction that may be used, whilst the subjects themselves and the level at which they are dealt with present a concern for scale. Further sources of variety are: the student as a novice, a beginner, an advanced student, or one revising the subject matter for the purposes of a test or an examination - the kind of student presents a source of variety, and the number of students presents a matter of scale; the teacher as an expositor, a tutor, a coach, or a mentor - the kind of teachers presents variety, whereas the number of teachers needed in the system are a matter of scale; as an employer, as the next level of an educational system, or the society as the beneficiary of education, and the student is both a product of the Educational System, as well as a consumer, the immediate beneficiary. There is lastly, the quality of the Educational System as a whole, as seen from each stakeholders point of view. This is all about technical content to be transacted in the process of educational services. In addition, we will need to look for support to administrative and managerial aspects of educational systems.

Abstract

As education and technology merge, the diversity of teaching and learning methods expand even more. Virtual labs are a set of web applications containing learning materials that compliment the various courses in an Engineering curriculum. The primary intent of the virtual labs is to provide in-lab experience to their users even when the physical lab infrastructure is not available. In this paper, we propose a method for providing access to virtual labs for all those lack internet access. Our aim is to facilitate availability and usage of Virtual Labs without network connectivity. We preinstall the virtual labs with full environment on an Operating System and also use Debian packages for easy installation of the labs on existing Operating System.

Abstract

e propose set of guidelines for virtual labs to improve end user experience based on analysis of experimental results. Virtual labs were designed and developed by people with different technical backgrounds based on their familiarity with the technologies and the complexity of virtual lab. As a result each lab developer decided to use his or her own set of tools and technologies leading to performance issues during execution of the virtual labs. Performance of a web application depends upon the content of the web page. Therefore, we did analysis on web pages of virtual lab and listed guidelines to enhance user experience.

Abstract

Cooperative spectrum sensing (CSS) is one of the efficient scheme that helps in improving the spectrum sensing performance of a cognitive radio network. In this paper we propose a Dempster-Shafer theory (DST) based CSS for cognitive radio network. The fusion rule is the D-S combination rule which is well known for its ability to handle uncertainty and has been used in quite a different number of fields. Noise uncertainty, which is unavoidable in practical field, can gravely limit the detection performance of CSS. In this paper we specially investigate sensor nodes undergoing uncertainty in noise power when the detection scheme is based on energy of the received signal and use DS theory to minimize such effects. Simulation results reveal significant improvement in CSS gain as compared to previous traditional methods.

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Abstract

In this paper, we discuss our efforts to annotate nominals in the Hindi Treebank with the semantic property of animacy. Although the treebank already encodes lexical information at a number of levels such as morph and part of speech, the addition of animacy information seems promising given its relevance to varied linguistic phenomena. The suggestion is based on the theoretical and computational analysis of the property of animacy in the context of anaphora resolution, syntactic parsing, verb classification and argument differentiation.

Abstract

In this paper, we discuss our efforts to annotate nominals in the Hindi Treebank with the semantic property of animacy. Although the treebank already encodes lexical information at a number of levels such as morph and part of speech, the addition of animacy information seems promising given its relevance to varied linguistic phenomena. The suggestion is based on the theoretical and computational analysis of the property of animacy in the context of anaphora resolution, syntactic parsing, verb classification and argument differentiation.

Abstract

Recognizing human faces in the wild is emerging as a critically important, and technically challenging computer vision problem. With a few notable exceptions, most previous works in the last several decades have focused on recognizing faces captured in a laboratory setting. However, with the intro- duction of databases such as LFW and Pubfigs, face recogni- tion community is gradually shifting its focus on much more challenging unconstrained settings. Since its introduction, LFW verification benchmark is getting a lot of attention with various researchers contributing towards state-of-the-results. To further boost the unconstrained face recognition research, we introduce a more challenging Indian Movie Face Database (IMFDB) that has much more variability compared to LFW and Pubfigs. The database consists of 34512 faces of 100 known actors collected from approximately 103 Indian movies. Unlike LFW and Pubfigs which used face detectors to automatically detect the faces from the web collection, faces in IMFDB are detected manually from all the movies. Manual selection of faces from movies resulted in high degree of variability (in scale, pose, expression, illumination, age, occlusion, makeup) which one could ever see in natural world. IMFDB is the first face database that provides a detailed annotation in terms of age, pose, gender, expression, amount of occlusion, for each face which may help other face related

Abstract

We present an approach to simulate both Newto-nian and generalized Newtonian fluids using Lattice BoltzmannMethod. The focus has been on accurately modelling non-Newtonian fluids at the micro channel level from biological fluidsin the past. Our method can model macroscopic behaviour of suchfluids by simulating the variation of properties such as viscositythrough the bulk of the fluid. The method works regardless ofthe magnitude of flow, be it through a thin tube or a largequantity of liquid splashing in a container. We simulate thechange in viscosity of a generalized Newtonian fluid and its freesurface interactions with obstacles and boundaries. We harnessthe inherent parallelism of Lattice Boltzmann Method to give afast GPU implementation for the same