Unified framework for IoT and smartphone based different smart city related applications

Dutta, Joy; Roy, Sarbani; Chowdhury, Chandreyee

doi:10.1007/s00542-018-3936-9

Cited by 36 publications

(16 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Important factors of smart classrooms can also be found in Reference [36]. Some studies related to context-aware and smart classroom were also reviewed, such as References [55][56][57]. Works related to energy efficiency and energy saving issues, such as Reference [58][59][60][61][62][63][64][65][66][67][68][69], were reviewed.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Context Aware Smart Classroom Architecture for Smart Campuses

Huang

Pao

2019

Applied Sciences

View full text Add to dashboard Cite

The Smart campus is a concept of an education institute using technologies, such as information systems, internet of things (IoT), and context-aware computing, to support learning, teaching, and administrative activities. Classrooms are important building blocks of a school campus. Therefore, a feasible architecture for building and running smart classrooms is essential for a smart campus. However, most studies related to the smart classroom are focused on studying or addressing particular technical or educational issues, such as networking, AI applications, lecture quality, and user responses to technology. In this study, an architecture for building and running context-aware smart classrooms is proposed. The proposed architecture consists of three parts including a prototype of a context-aware smart classroom, a model for technology integration, and supporting measures for the operation of smart classrooms in this architecture. The classroom prototype was designed based on our study results and a smart classroom project in Ming Chuan University (MCU). The integration model was a layered model uses Raspberry Pi in the bottom layer of the model to integrate underlying technologies and provide application interfaces to the higher layer applications for the ease of building context-aware smart classroom applications. As a result, application interfaces were implemented using Raspberry Pi based on the proposed technology integration model, and a context-aware energy-saving smart classroom application was implemented based on the proposed classroom prototype and the implemented web application interface. The result shows that, in terms of technology, the proposed architecture is feasible for building context-aware smart classrooms in smart campuses.3 of 34 as follows. The related works are reviewed in the following subsections of this section. The components of the proposed architecture, including a context-aware smart classroom prototype, a technology integration model, and the supporting measures for smart classroom operations, are described in Section 2. The implementations to prove the concepts of the proposed architecture are demonstrated in Section 3. Discussions and conclusions are given in Section 4. Background and Related WorksStudies related to this study are reviewed in this section. Studies related to different topics, including classroom environment, context-aware, energy issues, and Ming Chuan University (MCU) Smart Classroom Project, are reviewed in the following four subsections respectively. Physical Environment and Smart ClassroomsSome research works focus on taking a smart classroom as a tool to measure lecture quality. In [8], authors use sensors to retrieve features, such as noise level, CO 2 level, temperature, humidity, lecturers' voice, and lecturers' motion, in smart classrooms. Collected data are evaluated by various classification algorithms. The result shows that CO 2 level, temperature, humidity, and noise level are the main environmental factors that affect lecture quality. The relations...

show abstract

Section: Discussionmentioning

confidence: 99%

“…Technology factors such as GPS, location sensor, and RFID applications are also described in Reference [55]. In Reference [56], a framework is proposed for smart city applications. Three layers, including and IoT layer, a Fog layer, and a Cloud layer, are defined in the proposed framework.…”

Section: Context-aware and Energy Saving Related Studiesmentioning

confidence: 99%

A Context Aware Smart Classroom Architecture for Smart Campuses

Huang

Pao

2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…For any IoT-based application, a common factor is the presence of various sensors which are actually sensing the environment [3]. The sensing elements employed in this study are introduced as follows:…”

Section: Software and Hardware Used In This Studymentioning

confidence: 99%

Application of Internet of Things in a Kitchen Fire Prevention System

et al. 2019

View full text Add to dashboard Cite

When using a gas stove to cook, the food or oil in the pot or pan may catch fire because of an excessively high temperature. In addition, people may be uncertain as to whether they have turned off the gas stove before leaving home and therefore feel compelled to return home to check. To solve these problems, this study has developed a smart kitchen fire prevention system that possesses the following devices and functions. (1) Sensors are installed above the stove top. When they detect flames, high temperature, or a gas leak, they immediately activate the gas shutoff device to turn off the gas supply. (2) The alarm produces a loud sound and flashes to warn the residents. (3) The Line reporting system sends Line messages to notify the residents and the community management center, and the main entrance door is automatically unlocked to allow relevant personnel to enter the house to deal with the accident. (4) An Internet protocol camera is installed in the kitchen to enable the residents to monitor the gas stove on their mobile phones. If they find the gas stove is still turned on, they can activate the gas shutoff device to shut off the gas supply from their phones. The system developed in this study can effectively reduce the loss that results from a kitchen fire.

show abstract

“…After implementing the system, they asked the students and most of them (97%) positively assessed the system. Dutta et al [42] defined an architecture for the evaluation and improvement of the classroom environment, from air quality to the amount of noise. After performing some tests, they observed that their measurements allowed to reduce noise and pollution.…”

Section: Developed Systemsmentioning

confidence: 99%

Smart Education: A Review and Future Research Directions

Martín

Alario-Hoyos

Kloos

2019

13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019‬

View full text Add to dashboard Cite

Research and development often move forward based on buzzwords. New terms are coined to summarize new developments, often with several interpretations and without a formal definition. The term Smart Education has been coined to represent a move forward in technology-enhanced education, but what is behind it? Does it represent something essentially different from the educational technologies used before? In this paper, we do a systematic literature review to understand how this term is used, what the technologies behind it are, and what promises are made. We conclude that although the term is fuzzy, there are indeed several developments available today that can make educational technologies much more adapted to the learner and therefore underpin the learning in a smarter way.

show abstract

Unified framework for IoT and smartphone based different smart city related applications

Cited by 36 publications

References 18 publications

A Context Aware Smart Classroom Architecture for Smart Campuses

A Context Aware Smart Classroom Architecture for Smart Campuses

Application of Internet of Things in a Kitchen Fire Prevention System

Smart Education: A Review and Future Research Directions

Contact Info

Product

Resources

About