Smart-home automation using IoT-based sensing and monitoring platform

Al-Kuwari, Majid; Ramadan, Abdulrhman; Ismael, Yousef; Al-Sughair, Laith; Gastli, Adel; Benammar, Mohieddine

doi:10.1109/cpe.2018.8372548

Cited by 136 publications

(62 citation statements)

References 6 publications

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“…In case your absence is long enough, some of the appliances may over heat and are about to blowout. To avoid such situations, we connect all IoT appliances' sensors to the home application (2), so that when all leave home it will automatically adjust all the appliances' sensors accordingly (3), to avoid damages. Note that the indication of an empty home is generated by the Smart Home application, while the "on" indication of the appliance, is generated by IoT.…”

Section: Incident Management To Control Home Appliancesmentioning

confidence: 99%

“…Christos Stergioua et al [1] merge cloud computing and IoT to show how the cloud computing technology improves the functionality of the IoT. Majid Al-Kuwari [2] focus on embedded IoT for using analyzed data to remotely execute commands of home appliances in a smart home. Trisha Datta et al [3] propose a privacy-preserving library to embed traffic shaping in home appliances.…”

Section: Introductionmentioning

confidence: 99%

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Smart Home Systems Based on Internet of Things

Domb¹

2019

IoT and Smart Home Automation [Working Title]

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Smart home systems achieved great popularity in the last decades as they increase the comfort and quality of life. Most smart home systems are controlled by smartphones and microcontrollers. A smartphone application is used to control and monitor home functions using wireless communication techniques. We explore the concept of smart home with the integration of IoT services and cloud computing to it, by embedding intelligence into sensors and actuators, networking of smart things using the corresponding technology, facilitating interactions with smart things using cloud computing for easy access in different locations, increasing computation power, storage space and improving data exchange efficiency. In this chapter we present a composition of three components to build a robust approach of an advanced smart home concept and implementation.

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Section: Incident Management To Control Home Appliancesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Smart Home Systems Based on Internet of Things

Domb¹

2019

IoT and Smart Home Automation [Working Title]

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“…The aforementioned studies [16][17][18][19], however, still focused on the efficient management and interaction of smart objects (i.e., sensors and actuators) rather than interaction between users and IoT services. The platforms and systems presented by [20][21][22][23][24] suggest various approaches to provide IoT services by taking the interaction between users and devices into account. Ref.…”

Section: J Sens Actuator Netw 2019 8 12 4 Of 21mentioning

confidence: 99%

“…Ref. [20,21] proposed an IoT-based smart home automation and monitoring system. Various sensor and actuator nodes are configured with microcomputers like Raspberry Pi and Arduino and then installed in a home.…”

Section: J Sens Actuator Netw 2019 8 12 4 Of 21mentioning

confidence: 99%

“…As mentioned in Introduction, most recent IoT systems provide a simple grid or list-based interface which is not efficient for users to manage the devices and rules. Moreover, some systems [2,[20][21][22][23] provide an interface for device management only. Although some studies [12][13][14]22] provide graphical components for presentation, their functionalities are limited to manage only sensor data or support only a web-based interface or device management feature.…”

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confidence: 99%

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VisKit: Web-Based Interactive IoT Management with Deep Visual Object Detection

Hwang

Lee

Jeong

2019

JSAN

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Various technologies and standards for the Internet of Things (IoT) have defined the way devices should interact with each other to provide an intelligent IoT service to users in an efficient manner. Although the usability of system interface between the platform and users is one of the key factors for the success of IoT ecosystems, the manner in which IoT platforms should interact with users has not been well studied. Current IoT platforms provide a simple list-based interface to manage devices, which result in the degradation of their usability as the number of devices increases. In this paper, we propose an interactive web-based IoT management system where deep object detection techniques are adopted to facilitate user’s device selection and management. The proposed system automatically recognizes the device type from video streams and accordingly generates smart controllers. The users can choose a device by touching an object in the video stream and use a smart controller to control the selected device. Finally, we show the feasibility of the proposed system through the implementation of a prototype which demonstrates a set of user scenarios.

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