With the rapid development of big data, Internet of things, artificial intelligence and 5G technology, the construction of smart campus has become the development trend of Chinese universities. Objective: through the combination of sustainable methods and service systems, to reconstruct the Chinese campus service system, optimize teaching, management and information systems, improve user experience, and promote the transformation, upgrading and sustainable development of smart campus. Methods: f...
#1Tao Gu(NUS: National University of Singapore)H-Index: 31
#2Xiao Hang Wang(Agency for Science, Technology and Research)H-Index: 2
Last. Daqing Zhang(Agency for Science, Technology and Research)H-Index: 69
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Computing becomes increasingly mobile and pervasive today; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly dynamic environments. Today, building context-aware systems is a complex task due to lack of an appropriate infrastructure support in intelligent environments. A context-aware infrastructure requires an appropriate context model to represent, manipulate and access context information. In this paper, we propose a formal conte...
Since the beginning of the 21st century, the Internet has not only been widely used in various industrial networks, but has gradually extended to every aspect of people’s lives. In recent years, the Internet technology based on big data has been extended to campus, which has put forward higher requirements for the construction of smart campus. Cloud computing and big data technology are typical representatives of information operation efficiency, and new technologies emerge one after another. Th...
As the high-end form of a smart education system, the smart campus has received increasing research attention over the world. Owing to the multidisciplinary nature of the smart campus, the existing research is mostly one-ended on either the state-or-the-art technologies or the innovative education concepts but lacks a deep fusion view on them and omits the smart campus implication on other smart city domains. This study highlights the interdisciplinary view on smart campus. Based on an integral ...
With the proliferation of sensors and IoT technologies, stream data are increasingly stored and analyzed, but rarely combined, due to the heterogeneity of sources and technologies. Semantics are increasingly used to share sensory data, but not so much for annotating stream data. Semantic models for stream annotation are scarce, as generally semantics are heavy to process and not ideal for Internet of things (IoT) environments, where the data are frequently updated. We present a light model to se...
Currently, the integration of technologies such as the Internet of Things and big data seeks to cover the needs of an increasingly demanding society that consumes more resources. The massification of these technologies fosters the transformation of cities into smart cities. Smart cities improve the comfort of people in areas such as security, mobility, energy consumption and so forth. However, this transformation requires a high investment in both socioeconomic and technical resources. To make t...
The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modeling the interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN’s Stimulus Sensor Observatio...
The literature asserts that the design of an ontology-based privacy model is an essential starting point to address privacy risks in IoT, where connected devices are increasingly capable of monitoring human activities. Due to the omnipresence of data privacy concerns in IoT, we highlight the need for privacy ontologies that combine an expressive vocabulary with extension points but that do not overload the processing of privacy policies data. This paper presents IoT-Priv as a lightweight privacy...
#1Oscar Cabrera(UPC: Polytechnic University of Catalonia)H-Index: 5
#2Xavier Franch(UPC: Polytechnic University of Catalonia)H-Index: 33
Last. Jordi Marco(UPC: Polytechnic University of Catalonia)H-Index: 13
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Context-aware computing is the ability of Services and applications to adapt and react to context changes. Context modelling is a core feature of context-aware computing. Although a lot of research has been made in the field of context modelling, most of the context-aware computing proposals prefer to design their own customized context model instead of reusing an existing one. The main reason for this behaviour is that current context models present some problems concerning reusability, extensi...
