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X-WR-CALDESC:Events for CECS
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DTSTART;TZID=America/Los_Angeles:20150210T150000
DTEND;TZID=America/Los_Angeles:20150210T160000
DTSTAMP:20231011T190459Z
CREATED:20231011T190456Z
LAST-MODIFIED:20231011T190459Z
UID:14420-1423580400-1423584000@www.cecs.uci.edu
SUMMARY:Design Automation of Things: Power Consumption Characterization\, Modeling and Estimation of Electric Vehicles
DESCRIPTION:Title: Design Automation of Things: Power Consumption Characterization\, Modeling and Estimation of Electric Vehicles\nSpeaker:  Professor Naehyuck Chang \nDate/Time:  Tuesday\, February 10\, 2015\, 2:00pm to 3:00pm \nLocation:  Harut Barsamian Colloquia Room (EH 2430) \nHost: Nikil Dutt \nAbstract:  \nRapid electric vehicle (EV) penetration gives a threatening challenge in electric energy generation. An 1\,814 kg curb weight full electric vehicle driving 18\,129 km/year consumes electricity energy equivalent to 74% of the total residential electricity use per person in the US. This implies that 27% more nationwide electricity generation is needed when 70% of passenger vehicles are replaced with EVs. \nThis talk introduces the first step toward systematic EV design-time and runtime optimization. We develop instantaneous power consumption modeling of an EV by the curb weights\, speed\, acceleration\, road slope\, passenger and cargo weights\, motor capacity\, and so on\, as a battery discharge model. The model also considers the onboard charger\, regenerative braking and so on\, as a battery charge model. To insure model fidelity\, we fabricate a lightweight custom EV\, perform extensive measurement\, and derive model coefficients using multivariable regression analysis. We estimate the EV instantaneous power consumption of a given speed and route profiles and verify the estimation fidelity with a real test run data. This talk will also cover the on-going project for the next version electric vehicle with four-wheel drive capability. \n 
URL:https://www.cecs.uci.edu/event/design-automation-of-things-power-consumption-characterization-modeling-and-estimation-of-electric-vehicles/
LOCATION:CA
CATEGORIES:Seminars at CECS
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20150210T150000
DTEND;TZID=America/Los_Angeles:20150210T160000
DTSTAMP:20231011T190459Z
CREATED:20231011T190456Z
LAST-MODIFIED:20231011T190459Z
UID:14422-1423580400-1423584000@www.cecs.uci.edu
SUMMARY:Connected Context Computing for Smart IoT
DESCRIPTION:Speaker: Jane Yung-jen Hsu \nTitle: Connected Context Computing for Smart IoT \nDate: Tuesday\, February 10\, 2015 \nTime: 3:30pm \nLocation: Harut Barsamian Colloquia Room (Engineering Hall 2430) \nHost: Professor Kwei-Jay Lin \nAbstract:  \nWe are witnessing the explosion of connected devices\, or the so-called Internet of Things\, in our everyday lives. This new trend has created new opportunities to monitor human activities and to configure environments for comfort\, security\, or energy savings. In the US\, buildings account for roughly 40% of total energy usage\, with major contributions from the cooling demands. While most people have no intention of wasting energy\, they are often unaware of the energy footprint of their daily routines. Activity recognition is a key capability for a smart environment to offer timely services and intelligent interactions with people. \nIn this talk\, I will introduce connected context computing and its significance in enabling our vision of smart IoT. In particular\, I will share our experience on monitoring the Computer Science building on NTU campus to improve its air conditioning and space utilization. First\, an agent-based HVAC service is designed to analyze cooling demands and wastes. Second\, experiments on SweetFeedback are conducted to encourage energy-saving behaviors. Third\, crowd sourcing cyber-physical agents are deployed to acquire status labels for activity recognition from people situated in the environment. Â Our experiments showed that context computing\, predictive analytics\, and proactive control are the fundamental building blocks for a smart IoT framework that can SCALE (Sense\, Communicate\, Analyze\, Learn\, Expect and Effect). \n 
URL:https://www.cecs.uci.edu/event/connected-context-computing-for-smart-iot/
LOCATION:CA
CATEGORIES:Seminars at CECS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20150212T150000
DTEND;TZID=America/Los_Angeles:20150212T160000
DTSTAMP:20231011T190458Z
CREATED:20231011T190456Z
LAST-MODIFIED:20231011T190458Z
UID:14419-1423753200-1423756800@www.cecs.uci.edu
SUMMARY:Inertial and Bio-potential-based Wearable Computers: Algorithms and Applications
DESCRIPTION:Title: Inertial and Bio-potential-based Wearable Computers: Algorithms and Applications\nSpeaker:  Professor Roozbeh Jafari \nDate/Time:  Thursday\, February 12\, 2015\, 11:00am to 12:00pm \nLocation:  Donald Bren Hall 4011 \nHost: Eli Bozorgzadeh \nAbstract:  \nWearable computers bring to fruition many new opportunities to continuously monitor human body with sensors placed on body; whether they are intended to detect an early onset of a disease\, assess human performance or determine the effectiveness of a treatment. In the past few years\, the community has observed a large number of applications leveraging wearable computers. There are\, however\, a number of fundamental challenges that need to be addressed before realizing the true ubiquitous use of the wearable computing systems. \nIn the first half of the talk\, we highlight several inertial-based wearable applications including systems capable of monitoring activities of daily living (ADLs) and home exercises for senior citizen. We focus on a class of signal processing algorithms that provide extreme robustness leveraging accelerometers and gyroscopes. We present our results on ADLs and highlight our efforts in line with data dissemination for the scientific community. In the second half of the presentation\, we focus on dry-contact electroencephalography (EEG). We present our brain-computer interface (BCI) system developed for intensive care units leveraging dry-contact EEG. We outline several components of EEG systems and focus on skin-electrode contact noise. \nWe provide techniques for noise reduction including contact reconfiguration along with experimental verifications. We provide concluding remarks on the trends of wearable computing technology development and future directions.
URL:https://www.cecs.uci.edu/event/inertial-and-bio-potential-based-wearable-computers-algorithms-and-applications/
LOCATION:CA
CATEGORIES:Seminars at CECS
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