2019 7th International Conference on Cyber and IT Service Management (CITSM) 2019
DOI: 10.1109/citsm47753.2019.8965344
|View full text |Cite
|
Sign up to set email alerts
|

Consumer's Activity Prediction in Household Water Consumption Based-IoT (Internet of Things)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 7 publications
0
3
0
Order By: Relevance
“…Hasibuan and Fahrianto [87] proposed an innovative low-cost solution that can predict water consumption for household activities. The water monitoring system integrates with the IoT concept.…”
Section: What Are the Current Smart Water Application Design Techniqu...mentioning
confidence: 99%
“…Hasibuan and Fahrianto [87] proposed an innovative low-cost solution that can predict water consumption for household activities. The water monitoring system integrates with the IoT concept.…”
Section: What Are the Current Smart Water Application Design Techniqu...mentioning
confidence: 99%
“…In 2019, A. Hasibuan et al [64], a smart water monitoring system that can predict the user's water usage over time, was proposed. This water control device takes advantage of the Internet of Things (IoT).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Sensors can be used in various fields to gather and analyze every human activity. Reference [ 49 ] proposed and validated an IoT-based approach to detect water consumption in a house for water conservation purposes. To achieve the task, the study used a water-flow sensor that gathers data and with the help of a microcontroller, the data is then sent to the internet so that the consumer can see their usage and can keep track of each activity with water consumption.In this study, we proposed to use both RGB and thermal cameras with infrared sensors to get both visual and temperature information of a scene and processed this information to recognize activity and heat leakage.…”
Section: Literature Reviewmentioning
confidence: 99%