Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Utsav Drolia"'
Publikováno v:
ACM Transactions on Embedded Computing Systems.
Millions of cameras at edge are being deployed to power a variety of different deep learning applications. However, the frames captured by these cameras are not always pristine - they can be distorted due to lighting issues, sensor noise, compression
Autor:
Utsav Drolia, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Yi Yang, Biplob Debnath, Wang-Pin Hsiung, Min Feng, Kunal Rao, Srimat Chakradhar
Publikováno v:
SMARTCOMP
Identification of people with elevated body temperature can reduce or dramatically slow down the spread of infectious diseases like COVID-19. We present a novel fever-screening system, F3S, that uses edge machine learning techniques to accurately mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b104d22b20fac6ea887ccbccaad0a03
Publikováno v:
GPCE
YinzCam is a cloud-hosted service that provides sports fans with real-time scores, news, photos, statistics, live radio, streaming video, etc., on their mobile devices. YinzCam’s infrastructure is currently hosted on Amazon Web Services (AWS) and s
Publikováno v:
Proceedings of the Second ACM/IEEE Symposium on Edge Computing.
Image recognition applications are on the rise. Increasingly, applications on edge devices such as mobile smartphones, drones and cars, are relying on recognition techniques to provide interactive and intelligent functionality. Given the complexity o
Publikováno v:
ICDCS
Recognition and perception based mobile applications, such as image recognition, are on the rise. These applications recognize the user's surroundings and augment it with information and/or media. These applications are latency-sensitive. They have a
Publikováno v:
PerCom Workshops
With the available sensors on mobile devices and their improved CPU and storage capability, users expect their devices to recognize the surrounding environment and to provide relevant information and/or content automatically and immediately. For such
Autor:
Utsav Drolia
Applications for Internet-enabled devices use machine learning to process captured data to make intelligent decisions or provide information to users. Typically, the computation to process the data is executed in cloud-based backends. The devices are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f16b8ab9a69f26ba5e57daade8d1b1c
Publikováno v:
EMSOFT
Control-Flow Integrity (CFI) is an important safety property of software, particularly in embedded and safety-critical systems, where CFI violations have led to patient deaths and can render cars remotely controllable by attackers. Previous technique
Publikováno v:
SEC
One of the thrusts of mobile and pervasive computing is supporting vision-based perception applications. Vision-based applications, such as augmented reality, are those that help users augment their understanding of the physical world through the cam
Publikováno v:
MobiSys (Companion Volume)