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F4F A NEW BRIDGE BETWEEN FACULTY AND STUDENTS

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F4F A NEW BRIDGE BETWEEN FACULTY AND STUDENTS Students are increasingly aware that the faculty are keeping up with the rapid change of information technology at a much slowerpace than the student body. The Science and Technology Wing (STWing), a student-run living-learning program at the University of Pennsylvania, has taken on the initiative to create and develop an Information Technology course for faculty to close this gap. Many benefits for both students and faculty are expected from this experimental program. As a result of their participation in this course, it is expected that faculty will more efficiently make use of the resources that are already available to them. In addition, they will be able to critically and adequately integrate the students’ information technology knowledge as tools in their instruction. Undertaking this challenge is expected to enhance the growth and maturation of participating students. Having stepped into the role of “teacher” the students gai...
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Detection of Anomalous Behavior In An Examination Hall Towards Automated Proctoring

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Exam Hall Ticket Management System Detection of Anomalous Behavior In An Examination Hall Towards Automated Proctoring The paper proposes a workflow for the automaticdetection of anomalous behavior in an examination hall, towards the automated proctoring of tests in classes. Certain assumptions about normal behavior in the context of proctoring exams are made. Anomalies are behavior patterns that are relatively (and significantly) different. While not every anomalous behavior may be cause for suspicion, the system is designed to detection typical patterns for actions of concern such as discussions during an exam or the turning around or the passing of notes, etc. https://codeshoppy.com/shop/product/exam-hall-ticket/ This detection is based on features computed using the histogram of gradient orientations followed by a nearest -neighbor search through annotated patterns of pre- recorded clips to train the system for behavior that may cause concern....
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Hybrid Based Smart Women Safety

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Hybrid Based Smart Women Safety   Smart technologies for women safety are gaining popularity over the last few decades. Several nefarious approaches to women that outraged the entire nation awakened the scientists globally to design smart apps for women safety. This paper proposes a concept of a multivariate security paradigm for women under possible offensive threats by deep sensing approaches. Internet of Things (IOT) based platform provides dexterity and dynamicity in correlating a plethora of sensors and actuators to ensure women safety. Hidden Markov Models (HMM) offer scope for better predictive analysis for its dynamic probabilistic nature and helped us developing a dense sensing approach based on traces of suspicious activities. There is a situation-based analysis for relative modelling based on face recognition as well as fuzzy labeling of verbal conversations. If an emergency situation is triggered, a GSM/GPS module will generate emergency in case of after-shoc...
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