Developing and Evaluating Mobile Sensing for Smart Home Control

Mafrur, Rischan; Khusumanegara, Priagung; Bang, Gi Hyun; Lee, Do Kyeong; Nugraha, I Gde Dharma; Choi, Deokjai

doi:10.14257/ijsh.2015.9.3.20

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…To increase the users' comfort reference [6] proposes a system based on mobile sensing that does not require user's intervention. Mobile sensing is used to record daily activities of the user and automatically gives response to the user.…”

Section: Similar Researchmentioning

confidence: 99%

“…With the dramatic increase in smart phone users, smart phones have gradually turned into an all purpose portable device, used for everyday life activities [1]. References [1,[3][4][5][6][7][8][9][10][11][12]14] present different versions of smart house control using smart phone, associated apps and GUI to control and monitor the proposed smart house project. Reference [1] presents a smart house project aiming to all areas of research, but it does not present the final prototype of the house.…”

Section: Similar Researchmentioning

confidence: 99%

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Design and Implementation of a Reliable and Environmental Friendly Smart House System

Paucar¹,

Imtiaz²,

Radu³

2017

IJSH

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With the advance of technologies, design and development of smart houses is becoming a very important area of research applications. The expectations of smart house users are a more rational use of resources, greater security and safety, and increased comfort. In this paper the design and implementation of a reliable and environmental-friendly smart home system is presented. The research project focuses on energy savings, security, safety and increased comfort for the users. The human interaction with the system is achieved through intelligent and user's friendly interfaces, allowing both local and remote control of the house. The entire system is built around an inexpensive microcontroller platform, the Arduino platform, using real sensors and actuators. The local control is achieved through a keypad and an LCD display, while the remote control includes an Arduino Ethernet based micro web-server, and an Android based app, which can be used from any Android supported device. The system is affordable, user friendly and easy to adapt, allowing to add new devices and functions, without altering previously built functions. All the functions of the smart house were tested and are fully functional, proving the feasibility and the effectiveness of the design. A reliability analysis was also performed, using industrial grade CAD tools. Estimating the reliability of various blocks of the system and identifying components based on their failure rates, help the designer to make the necessary changes to the design, choosing more reliable components, incorporating spares or adding fault tolerant features. smart devices to operate reliable. The information collected by various sensors is transmitted in some cases over the Internet (Internet-of-Things). Recent consumer surveys show that people are concerned about privacy and security regarding personal information, but also the vulnerabilities found in home appliances [2]. Estimating the reliability of various hardware blocks of the smart house system and identifying components based on their failure rates, helps the designer to make the necessary changes, choosing more reliable components, incorporating spares or adding fault-tolerant features.Saving electrical energy, gas, water, and other natural resources affects the global environment in a positive way. Preventing fires, smoke and gas leakage avoids polluting the atmosphere. Security systems prevent unwanted intruders, who may damage the property and possibly endanger the environment through malice fires, water floods, etc.There are several factors that need to be considered when designing a reliable and environmental-friendly smart house. The system should be affordable, user friendly and easy to adapt, in order to incorporate new devices and features [1]. Current research in the area of smart house covers usually areas such as: (i) smart home design, covering a broad spectrum of functions from the efficient use of resources to the increased comfort for the inhabitants, offering powerful means for helping and supporting v...

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Section: Similar Researchmentioning

confidence: 99%

Section: Similar Researchmentioning

confidence: 99%

Design and Implementation of a Reliable and Environmental Friendly Smart House System

Paucar¹,

Imtiaz²,

Radu³

2017

IJSH

View full text Add to dashboard Cite

show abstract

“…Saputri, Khan, and Lee [ 10 ] used a three-stage process based on a genetic algorithm for finding common sensors of physical activity for each subject. Mafrur et al [ 11 ] used the support vector machine with sequential floating forward selection to reduce both loading and prediction time for activity recognition on mobile phones. However, the wrapper-based approach is more computationally expensive than the filter-based approach and may run the risk of overfitting [ 4 , 12 ].…”

Section: Related Workmentioning

confidence: 99%

Tree Alignment Based on Needleman-Wunsch Algorithm for Sensor Selection in Smart Homes

Chua

Foo

2017

Sensors

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Activity recognition in smart homes aims to infer the particular activities of the inhabitant, the aim being to monitor their activities and identify any abnormalities, especially for those living alone. In order for a smart home to support its inhabitant, the recognition system needs to learn from observations acquired through sensors. One question that often arises is which sensors are useful and how many sensors are required to accurately recognise the inhabitant’s activities? Many wrapper methods have been proposed and remain one of the popular evaluators for sensor selection due to its superior accuracy performance. However, they are prohibitively slow during the evaluation process and may run into the risk of overfitting due to the extent of the search. Motivated by this characteristic, this paper attempts to reduce the cost of the evaluation process and overfitting through tree alignment. The performance of our method is evaluated on two public datasets obtained in two distinct smart home environments.

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Embedding eco-friendly and smart technology features in affordable housing for community happiness in Malaysia

et al. 2020

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Developing and Evaluating Mobile Sensing for Smart Home Control

Cited by 6 publications

References 28 publications

Design and Implementation of a Reliable and Environmental Friendly Smart House System

Design and Implementation of a Reliable and Environmental Friendly Smart House System

Tree Alignment Based on Needleman-Wunsch Algorithm for Sensor Selection in Smart Homes

Embedding eco-friendly and smart technology features in affordable housing for community happiness in Malaysia

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