320,161 research outputs found

    CAPTBHA: COMPLETELY AUTOMATED PROOF-OF-CONCEPT TEST TO TELL BOT AND HUMAN APART IMPLEMENTATION OF BOT DETECTION TECHNIQUE BASED ON WEB NAVIGATION BEHAVIOUR IN JACK-MAPS

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    CAPTBHA: COMPLETELY AUTOMATED PROOF-OF-CONCEPT TEST TO TELL BOT AND HUMAN APART IMPLEMENTATION OF BOT DETECTION TECHNIQUE BASED ON WEB NAVIGATION BEHAVIOUR IN JACK-MAPS - Bot detection, web navigation behavior, link obfuscation, Support Vector Machine, KNearest Neighbor, Naïve Bayes, Jack-Maps, Web 2.0, Spam 2.

    T-Violation in K+→μ+νγK^+ \to \mu^+ \nu \gamma Decay And Supersymmetry

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    Measurement of the transverse muon polarization Pμ⊥P^{\bot}_{\mu} in the K+→μ+νγK^+ \rightarrow \mu^+\nu\gamma decay will be attempted for the first time at the ongoing KEK E246 experiment and also at a proposed BNL experiment. We provide a general analysis of how Pμ⊥P^{\bot}_{\mu} is sensitive to the physical CPCP-violating phases in new physics induced four-Fermi interactions, and then we calculate the dominant contributions to Pμ⊥P^{\bot}_{\mu} from squark family mixings in generic supersymmetric models. Estimates of the upper bounds on Pμ⊥P^{\bot}_{\mu} are also given. It is found that a supersymmetry-induced right-handed quark current from WW boson exchange gives an upper limit on Pμ⊥P^{\bot}_{\mu} as large as a few per cent, whereas with charged-Higgs-exchange induced pseudoscalar interaction, Pμ⊥P^{\bot}_{\mu} is no larger than a few tenths of a per cent. Possible correlations between the muon polarization measurements in K+→μ+νγK^+ \rightarrow \mu^+\nu\gamma and K+→π0μ+νK^+ \rightarrow \pi^0\mu^+\nu decays are discussed, and distinctive patterns of this correlation from squark family-mixings and from the three-Higgs-doublet model are noted.Comment: Revtex, 29 pages including 4 epsf figure

    Perception and Acceptance of an Autonomous Refactoring Bot

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    The use of autonomous bots for automatic support in software development tasks is increasing. In the past, however, they were not always perceived positively and sometimes experienced a negative bias compared to their human counterparts. We conducted a qualitative study in which we deployed an autonomous refactoring bot for 41 days in a student software development project. In between and at the end, we conducted semi-structured interviews to find out how developers perceive the bot and whether they are more or less critical when reviewing the contributions of a bot compared to human contributions. Our findings show that the bot was perceived as a useful and unobtrusive contributor, and developers were no more critical of it than they were about their human colleagues, but only a few team members felt responsible for the bot.Comment: 8 pages, 2 figures. To be published at 12th International Conference on Agents and Artificial Intelligence (ICAART 2020
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