Building automation and energy control using IoT - Smart campus

Jain, Manu; Kaushik, Neeraj; Jayavel, Kayalvizhi

doi:10.1109/iccct2.2017.7972303

Cited by 14 publications

(9 citation statements)

References 1 publication

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“…MUSYNC is a great android-based application and has excessive scope. This proposed cloud music player application plays music according to user moods with the help of machine learning and facial recognition which is based on different mood also stated by, Kumar (2018), and Jain, et al (2017), states of the stimuli that is being clicked by android phone camera and also it has a variety of other features too. Like, create account, backup and restore option, update user bio, send friend request, add friends, search friends via user id or by authorize Gmail account, update user profile, Glover (2018), provide local storage, music library of phone including audio and video songs, which is not provided by any other applications.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

2021

aijser

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This paper output is a music player application but when it comes to its features it will be way more than a simple music player. It is developed on Android Studio and other tools like: Firebase is used as database, Android phone camera, Music library of Android Phone are used in the development of application. When user changes his phone or reset his phone then all of his data is lost or user has to put all the data in his computer and then back to his mobile phone except data that is backed up online. Message data, photos and contacts are that things that users backed up online. But music files normally don’t get backed up and user troubles in re downloading the files or moving files in computer and back to phone. In this purposed work the targeted problem is resolved as MUSYNC application is be able to automatically backup all the mp3 data from the phone and user will get all of his data by just signing in the application in his new phone. The purposed application has a feature of sync music. Users can sync music with another one and that person will able to listen to same music instantly. Application also provides a unique feature of mood detection using digital image processing DIP. This feature is able to check your face emotion and play music according to it. User just has to take a picture and that is it, this music player plays the music according to your mood. This feature is useful when user having tough time what to listen.

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Section: Discussionmentioning

confidence: 99%

Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

2021

aijser

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“…Jain and others have shown automation techniques and a module that works for a room automation and ease of access to appliances with digital control [22]. Their techniques did not show the scheduled operation of appliances and they did not implement their module's cooperation with cloud services at the time this paper was published.…”

Section: Smart Campus Using Iotmentioning

confidence: 99%

A Campus Equipment Controller Using an IoT System that Can Configure and Control its Edge Devices Behind a NAT Using Wiki Pages on the Internet

Yamanoue

2022

Journal of Information Processing

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This paper describes the development of an electric appliance controller using an IoT system. The IoT system can configure and control its edge devices which are placed behind a Network Address Translator (NAT) using Wiki pages. These operations were realized by Bot Computing, a framework for Internet of Things (IoT). Any electric appliance can be controlled using the combination of Bot Computing and edge devices with an Infra-Red (IR) transmitter, if the appliance has the IR remote controlled function. We can program the power on/off time of any electric appliances, by writing a script on a Wiki page on the Internet, using Bot Computing. We can change the program anytime, anywhere. We also can control turning on or off the appliance anytime, anywhere.

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“…Therefore, a complex telecommunication infrastructure is required [3]. An important aspect of the Smart Campus concept is automation for energy efficient operation of appliances and optimal control of indoor zones [4]. This can be obtained by using Internet of Things (IoT) devices to monitor and control building systems and appliances.…”

Section: A Smart Campusmentioning

confidence: 99%

“…This can be obtained by using Internet of Things (IoT) devices to monitor and control building systems and appliances. These devices can be deployed in different types of buildings (e.g., public and private, industrial, institutions, or residential) for the automation purpose [4].…”

Section: A Smart Campusmentioning

confidence: 99%

Location-based energy efficiency and flexibility strategies for smart campuses : Consideration of different levels of building intelligence and typologies

Christensen

Korsgaard

et al. 2019

2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)

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This paper proposes an approach to investigate building typologies on a selected campus to propose a locationbased energy efficiency and flexibility strategy for campuses to provide energy flexibility without compromising educational activities. To do so, this paper selects four different typologies and conduct an analysis on energy consumption patterns based on energy data provided by submeters located throughout the campus. Quantitative and qualitative methods in form of interviews and surveys were used to understand the consumption patterns in each selected type of buildings. Furthermore, the potential flexibilities have been evaluated based on the interview results and electricity market data. This paper defines the buildings intelligence level based on the EU standards EN15232. The proposed strategy is based on both the intelligence level and the importance level of different building typology. The results show that laboratories have the highest importance level with no flexibility at all. All other building typologies have flexibility in some amount where the canteen is found to have the most possibility for energy savings. This paper also finds that the chosen classrooms in a newly built building have the highest intelligence level, the classrooms in older buildings have the lowest intelligent level, and the rest of the building typologies have the same level of intelligence and have potentials improving the energy efficiency.

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Building automation and energy control using IoT - Smart campus

Cited by 14 publications

References 1 publication

Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

A Campus Equipment Controller Using an IoT System that Can Configure and Control its Edge Devices Behind a NAT Using Wiki Pages on the Internet

Location-based energy efficiency and flexibility strategies for smart campuses : Consideration of different levels of building intelligence and typologies

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