2017
DOI: 10.1016/j.enbuild.2016.12.069
|View full text |Cite
|
Sign up to set email alerts
|

Development of a prototype smart home intelligent lighting control architecture using sensors onboard a mobile computing system

Abstract: As smartphones become increasingly powerful and ubiquitous, integrating them into intelligent lighting systems can boost both convenience and energy efficiency. This paper presents an intelligent lighting system prototype with enhanced security features for smart homes. The custom-built Android mobile application made use of the onboard ambient light sensor to run a novel closed-loop feedback algorithm to implement daylight harvesting. A cost analysis shows that the whole system setup is slightly cheaper than … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
47
0
5

Year Published

2017
2017
2024
2024

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 100 publications
(52 citation statements)
references
References 21 publications
0
47
0
5
Order By: Relevance
“…In the proposed algorithm, the following steps are conducted iteratively (Lines 1∼9 in Algorithm 3). First, findα a andβ a that have higher probabilities than Γ (Lines 2 and 3 in Algorithm 3).α a can be found by Equation (19).…”
Section: Searching For the Preference Time For Interruptible Appliancesmentioning
confidence: 99%
See 2 more Smart Citations
“…In the proposed algorithm, the following steps are conducted iteratively (Lines 1∼9 in Algorithm 3). First, findα a andβ a that have higher probabilities than Γ (Lines 2 and 3 in Algorithm 3).α a can be found by Equation (19).…”
Section: Searching For the Preference Time For Interruptible Appliancesmentioning
confidence: 99%
“…Finally, estimate the preferred starting time and preferred ending time asα a = 6 and β a = 18, respectively. Updateα a by Equation (19) Updateβ a by Equation (20) 4:…”
Section: Searching For the Preference Time For Interruptible Appliancesmentioning
confidence: 99%
See 1 more Smart Citation
“…It is the opinion that dwelling comfort may be reduced and energy consumption habits are the biggest obstacle for the implementation of demand respond programs at homes [12]. However, intelligent home energy management systems have gained popularity in recent years with the aim of enhancing the dwelling comfort in parallel with the advances in information and internet technologies [13,14]. Therefore, home energy management studies play a crucial role in enabling demand response programs to be used effectively in residences [15].…”
Section: Introductionmentioning
confidence: 99%
“…This connectivity is formed by a physical and cybernetic linkage with the help of the sensing and communication technologies. These technologies make direct interactions among people, objects, and services that improve the productivity, efficiency, convenience, and security of our society [1]. The Internet of Things (IoT), big data, cloud computing, digital platforms, machine-to-machine (M2M) communication, artificial intelligence (AI), and machine learning are emerging technologies that support a hyperconnected society [2].…”
Section: Introductionmentioning
confidence: 99%