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DTSTART;TZID=America/New_York:20190903T163000
DTEND;TZID=America/New_York:20190903T173000
DTSTAMP:20260408T131739
CREATED:20190816T145825Z
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SUMMARY:Penn Engineering Connects: A Reception on Inclusion
DESCRIPTION:A reception on inclusion will be held for new Penn Engineering doctoral students to connect them to their peers and supporting structures within the school. \nPlease join the Dean\, Deputy Dean\, the Director of the Office of Diversity and Inclusion\, faculty and staff leaders including chairs\, graduate group chairs and coordinators\, and leaders of student groups. \nAll are welcome. Refreshments will be served.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-connects-a-reception-on-inclusion/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
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DTSTART;TZID=America/New_York:20190904T150000
DTEND;TZID=America/New_York:20190904T160000
DTSTAMP:20260408T131739
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SUMMARY:CBE Seminar: "Embryogenesis: A Cascade of Dynamical Systems"
DESCRIPTION:Abstract: \nWe aim to establish and experimentally test mathematical models of embryogenesis. While the foundation of this research is based on models of isolated developmental events\, the ultimate challenge is to formulate and understand dynamical systems encompassing multiple stages of development and multiple levels of regulation. These range from specific chemical reactions in single cells to coordinated dynamics of multiple cells during morphogenesis. Examples of our dynamical systems models of embryogenesis – from the events in the Drosophila egg to the early stages of gastrulation – will be presented. Each of these will demonstrate what had been learned from model analysis and model-driven experiments\, and what further research directions are guided by these models.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-towards-a-computable-embryo/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
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DTSTART;TZID=America/New_York:20190905T103000
DTEND;TZID=America/New_York:20190905T113000
DTSTAMP:20260408T131739
CREATED:20190823T194000Z
LAST-MODIFIED:20190823T194000Z
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SUMMARY:"Compressive Sensing: From Algorithms to Circuits"
DESCRIPTION:Compressive Sensing is an acquisition technique which relies on the sparsity of the underlying signals\, to enable sampling below the classical Nyquist rate. To do so\, the signals must be acquired in an incoherent way with respect to the sparsity basis\, which is classically obtained in practice by acquiring the signal through projection on a random PAM signal with i.i.d. symbols. \nWe first show that advantages with respect to the above “classical” compressive sensing approach can be achieved by exploiting the fact that\, while sparsity is not under a system designer’s control\, incoherence is\, and therefore flexibility and creativity in implementing compressed sensing systems rely on the strategic design and control of incoherence. To accomplish this\, we then assume that the signals to be acquired are not only sparse\, but also localized\, e.g. for nearly all practical applications\, the signals of interest preferentially occupy a given subspace (for instance they are all low-pass or high-pass in the frequency domain). We show how\, for localized signals\, the acquisition sequences can be designed to maximize their “rakeness\,” that is\, to maximize their capability to collect the energy of the samples during the acquisition phase and increase by several dBs the average SNR achieved in signal reconstruction. \nWe will then describe the design in a 0.18um CMOS technology of the most popular architecture for implementing A/D converters based on compressive sensing\, namely the Random Modulation Pre-Integration (RMPI). We will show that the direct circuit implementation of the classical acquisition scheme exploiting i.i.d sequences leads to a highly suboptimal solution\, and one needs therefore to follow a synergetic design between algorithm-circuit-system. We will show how the use of rakeness-based CS acquisition sequences can reduce the complexity of the implemented A/D from 16 to 8 stages for processing ECG signals and from 64 to 24 for EMG ones. Furthermore\, rakeness-derived sequences also eliminate the necessity for pre- or post-acquisition filtering stages intended to suppress high frequency artifacts and 60-Hz power-line noise interference. \nFinally\, we will show how the use of CS guarantee some level of privacy in information transmission\, which makes the CS signal acquisition paradigm even more suitable for applications in the area of Body Area Networks and Internet of Things.
URL:https://seasevents.nmsdev7.com/event/compressive-sensing-from-algorithms-to-circuits/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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DTSTART;TZID=America/New_York:20190905T104500
DTEND;TZID=America/New_York:20190905T114500
DTSTAMP:20260408T131739
CREATED:20190823T163541Z
LAST-MODIFIED:20190823T163541Z
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SUMMARY:MSE Lab Safety Seminar
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-lab-safety-seminar/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
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