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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

Optimized Energy Aware Resource Allocation Algorithm Using Software Deﬁned Network Technology

Al-Musawi Ranya, Al-Khatib Obada

Journal of Telecommunications and Information Technology

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2019

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nr 2

83--91

EN

The number of data centers (DCs) used for storing and processing data has evolved rapidly in recent years. However, the operations held by DCs may relate to a number of disadvantages, primarily presuming in excessive energy and power consumption due to the poor management standards applied. This may lead to a situation in which many devices within the DC operate at full capacity without any tasks assigned for actual execution. A Software Deﬁned Network (SDN) is a network architecture where the control plane is an independent entity from the data plane, yielding to a higher controllability and ﬂexibility over the network. Through the utilization of SDN architecture, a highly functional energy aware network may be established. In this paper, we propose a heuristic algorithm that monitors the current status of an SDN network (in addition to all ingoing and outgoing trafﬁc), in order to dynamically and eﬃciently allocate network resources by ensuring that only the necessary network devices are active and by turning the idle ones oﬀ. The results show that the proposed algorithm reduces energy consumption of the network compared to existing solutions.

3

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.