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1
Content available remote Face Mask Detection at the Fog Computing Gateway
Rudraraju Srinivasa Raju, Suryadevara Nagender Kumar, Negi Atul
Annals of Computer Science and Information Systems
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2020
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Vol. 21
521--524
EN
This work proposes a fog computing-based system for face mask detection that controls the entry of a person into a facility. The proposed system uses fog nodes to process the video streams captured at various entrances into a facility. Haar-cascade-classifiers are used to detect face portions in the video frames. Each fog node deploys two MobileNet models, where the first model deals with the dichotomy between mask and no mask case. The second model deals with the dichotomy between proper mask wear and improper mask wear case and is applied only if the first model detects mask in the facial image. This two-level classification allows the entry of people into a facility, only if they wear the mask properly. The proposed system offers performance benefits such as improved response time and bandwidth consumption, as the processing of video stream is done locally at each fog gateway without relying on the Internet.
2
Content available remote An adaptation of IoT to improve parcel delivery system
Song Ha Yoon, Han Hyo Chang
Annals of Computer Science and Information Systems
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2019
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Vol. 18
497--500
EN
Recently, IoT technology has been applied in various field. Especially this IoT technology can also be applied to delivery system. Current delivery system is high costly but somewhat inefficient. A delivery must go through the logistics hub, even if it's not a minimum distance. In this paper, we propose an enhanced parcel delivery system based on IoT technology. Firstly, we designed a sort of IoT devices which can be attached parcels. This devices has various functionalities including the ability to figure out current delivery route. Secondly, we introduce some difficulties such as : (i) issues linking IoT device into its platform; (ii) issues for designing IoT devices functionalities. Thirdly, we propose ways to improve the efficiency of IoT based parcel delivery system. From these considerations, our system may improve total economics of parcel delivery system.
3
Content available Implementacja podsystemu diagnostycznego okrętowego zespołu prądotwórczego w środowisku „Open Source”
Szubrycht T.
Zeszyty Naukowe Akademii Marynarki Wojennej
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2006
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R. 47 nr 2 (165)
161-168
PL
W artykule przedstawiono zaprojektowany podsystem diagnostyki przewidziany do oceny stanu technicznego okrętowego zespołu prądotwórczego. Do przeprowadzenia analizy dostarczonych danych proponuje się wykorzystać sztuczne sieci neuronowe o architekturze determinowanej przez użytkownika. W celu obniżenia kosztów projektu implementację prezentowanego podsystemu diagnostyki zrealizowano w środowisku „Open Source”, czyli tzw. wolnego oprogramowania.
EN
The paper presents a diagnostic subsystem designed to estimate the technical condition of a shipboard generator set. To analyze the data delivered using neural nets of user-determined architecture is suggested. In order to reduce the costs of the project the diagnostic system presented was implemented in „Open Source” environment.
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