2,839 research outputs found

    Web based Information Sources with Reference to Forensic Science

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    Since from the dawn of human society information has a vital role in the development of the society in general. We find diversified explosion in all fields such as information explosion, population explosion, technological explosion, knowledge explosion. This led to the dynamism in creation, storage, distribution, delivery and demand for information. The “24X7, any time, any place information” paradigm of the networked environment is a challenge in the Information field. Internet, World Wide Web and Open Access have brought revolutionary changes in the field of Information. In this paper we try to bring forth various web based information sources in the field of Forensic Science

    From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks

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    Block-based visual programming environments are increasingly used to introduce computing concepts to beginners. Given that programming tasks are open-ended and conceptual, novice students often struggle when learning in these environments. AI-driven programming tutors hold great promise in automatically assisting struggling students, and need several components to realize this potential. We investigate the crucial component of student modeling, in particular, the ability to automatically infer students' misconceptions for predicting (synthesizing) their behavior. We introduce a novel benchmark, StudentSyn, centered around the following challenge: For a given student, synthesize the student's attempt on a new target task after observing the student's attempt on a fixed reference task. This challenge is akin to that of program synthesis; however, instead of synthesizing a {solution} (i.e., program an expert would write), the goal here is to synthesize a {student attempt} (i.e., program that a given student would write). We first show that human experts (TutorSS) can achieve high performance on the benchmark, whereas simple baselines perform poorly. Then, we develop two neuro/symbolic techniques (NeurSS and SymSS) in a quest to close this gap with TutorSS

    Fair Clustering Using Antidote Data

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    Nonlinear dynamics of the interface of dielectric liquids in a strong electric field: Reduced equations of motion

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    The evolution of the interface between two ideal dielectric liquids in a strong vertical electric field is studied. It is found that a particular flow regime, for which the velocity potential and the electric field potential are linearly dependent functions, is possible if the ratio of the permittivities of liquids is inversely proportional to the ratio of their densities. The corresponding reduced equations for interface motion are derived. In the limit of small density ratio, these equations coincide with the well-known equations describing the Laplacian growth.Comment: 10 page