Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment

Sungheetha, Akey

doi:10.36548/jucct.2021.4.001

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…BD technology collects, stores, and analyzes massive amounts of student information and teaching data, and makes decisions on a data-driven basis. It can more accurately understand student needs to improve teaching effectiveness, and reveal school development trends and potential problems to optimize the decision-making process and promote scientific and efficient management of schools [14].…”

Section: Informationization Support For Smart Campusesmentioning

confidence: 99%

Intelligent Campus Informatization Management Model Based on BD and AI

2023

FSST

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Schools are the gathering centers of knowledge and information resources in the information society. In the new media environment, the traditional teaching method with paper textbooks as the main carrier cannot keep up with the pace of modern information technology (IT). The "Internet plus" smart campus model has become an inevitable trend of future university reform. This paper combined artificial intelligence (AI) with Big data (BD) and other advanced theories, used data mining to analyze students' learning, teachers' teaching behavior and the impact of related factors on education and teaching quality, and built a new generation of information platform. By utilizing various technological means to achieve resource sharing and interactive communication between teachers and students, as well as between different groups, a truly intelligent teaching service system was formed. School A, which deployed a smart campus information management system model based on BD and AI, was compared with School B, which used a traditional campus management platform. The experimental results showed that the average total score of students in Class A of School A was about 81.527 points, while the average total score of students in Class B of School B was about 77.979 points. Class A was about 3.548 points higher than Class B. This to some extent indicates that the application of AI and BD analysis technology can have a positive impact on education and teaching work, making teaching and management more refined. The introduction of BD and AI is driving the transformation of the entire society from an industrial economy to a knowledge-based economy. The personalized needs of students are gradually expanding and showing a diversified trend. Education concepts and teaching models have also undergone changes, bringing opportunities and challenges to schools.

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Section: Informationization Support For Smart Campusesmentioning

confidence: 99%

Intelligent Campus Informatization Management Model Based on BD and AI

2023

FSST

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“…Sensors connected for the smart campus environment, environmental data such as air temperature, light intensity, and humidity are collected using two Arduino microcontrollers. As a result of this framework's use of the system server, sensor readings may be recorded and shown in real time in the environment application and on the server platform [34].…”

Section: Iotmentioning

confidence: 99%

Smart Campus 4.0: Digitalization of University Campus with Assimilation of Industry 4.0 for Innovation and Sustainability

Satish Kumar Mahariya,

Awaneesh Kumar,

Rajesh Singh

et al. 2023

ARASET

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According to the United Nations, global sustainability in terms of social, economic, and environmental issues must be achieved by 2030. SDGs 4 and 9 are related to education and strengthen the attainment of quality education and infrastructure innovation. Resilient infrastructure plays a significant role in strengthening the campus in terms of education, management, placement and environment. These all aspects come under the smart campus. Smart campus 4.0 is the amalgamation of multitude industry 4.0 enabling technologies for delivering smart and innovative facilities with the aspect of sustainability. The previous studies have proved that the sustainable development goals (SDGs) can be achieved with the amalgamation of industry 4.0 enabling technologies in the campus such as cloud computing, artificial intelligence (AI), Internet of things (IoT), edge/fog computing, blockchain, robot process automation (RPA), drones, augmented reality (AR), virtual reality (VR), big data, digital twin, and metaverse. The main objective of this study to provide the detailed discussion of all industry 4.0 enabling technologies in single research related to smart campus. The findings observed are IoT-Based Drone system is intended to ground patrolling, and a cloud server to develop a smart campus energy monitoring system. AI for campus placement prediction model; cloud and Edge computing architecture to build an intelligent air-quality monitoring system. The novelty of the study, it has discussed all industry 4.0 enabling technologies for a smart campus with challenges, recommendations, and future directions.

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