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Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework

Aftab Khan, Thomas Plötz, James Nicholson, Sebastian Mellor, Daniel Jackson, Karim Ladha, Cassim Ladha, Jon Hand, Joseph Clarke, Patrick Olivier
2014 Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings - BuildSys '14  
, hierarchical analysis method.  ...  In contrast to current, often invasive or unreliable methods we present an approach for accurate occupancy estimation using a wireless sensor network (WSN) that only collects non-sensitive data and a novel  ...  Acknowledgment Parts of this work have been funded by a grant from the Engineering and Physical Sciences Research Council, UK (EPSRC, grant number EP/I000755/1).  ... 
doi:10.1145/2674061.2674080 dblp:conf/sensys/KhanNMJLLHCOP14 fatcat:nzj322ghhfej3gdf53qsva4jji

Guest Editorial Special Issue on Internet-of-Things for Smart Cities

Jia Hu, Kun Yang, Sergio Toral Marin, Hamid Sharif
2018 IEEE Internet of Things Journal  
, which uses historical data analysis to provide context for real-time analysis.  ...  Extensive research on IoT in smart cities is taking place on environmental sensors, cloud computing technology, and big data analysis.  ... 
doi:10.1109/jiot.2018.2792885 fatcat:xkahwqy22rharmsdusz2n4kowi

Big data from the built environment

Azam Khan, Kasper Hornbæk
2011 Proceedings of the 2nd international workshop on Research in the large - LARGE '11  
As sensor networks in buildings continue to grow in number and heterogeneity, occupants can become empowered to better control their environment for comfort maximization and energy minimization.  ...  Since buildings are the primary consumers of energy and are the dominant cause of greenhouse gases, apps that help occupants to understand and control their interactions with a building could be extremely  ...  We have outlined key projects in both sensor networks and the surrounding context for big data gathering, analysis, and visualization that contribute to this vision.  ... 
doi:10.1145/2025528.2025537 fatcat:yvlislnaofdiffvlwlrs2juc5a

Seascapes as a new vernacular for pelagic ocean monitoring, management and conservation

Maria T. Kavanaugh, Matthew J. Oliver, Francisco P. Chavez, Ricardo M. Letelier, Frank E. Muller-Karger, Scott C. Doney
2016 ICES Journal of Marine Science  
For terrestrial and marine benthic ecologists, landscape ecology provides a framework to address issues of complexity, patchiness, and scaleproviding theory and context for ecosystem based management in  ...  organization shaped by physical processes, and our limited capacity to observe and monitor these phenomena across global oceans.  ...  A seascape observational/analysis framework needs to integrate with national and international observing networks ( Figure 5 ).  ... 
doi:10.1093/icesjms/fsw086 fatcat:ggr5z52irrdkdaflrej6dfkvm4

A theoretical framework for classifying occupant-centric data streams on indoor climate using a physiological and cognitive process hierarchy

Niels Lassen, Francesco Goia
2021 Energy and Buildings  
In this paper, we propose a taxonomy for the classification of occupant-centric data streams, developed through the application of established theories and categories in environmental and market psychology  ...  New and pervasive information and communication technologies have made it possible to capture a large range of continuous data from, or close to, each individual building occupant.  ...  of occupant-centric design and operation of buildings.  ... 
doi:10.1016/j.enbuild.2021.110935 fatcat:nj2y73cslzaajkz6b4gwvhvzvq

A framework analysis approach of an indoor air quality sensor

I.O. Lixandru-Petre
2021 International Journal of Engineering, Science and Technology  
In this paper, we explore the use of structuring knowledge representation in form of a framework approach for an indoor air quality sensor.  ...  Killing around 7 million people a year, air pollution is the biggest risk to environmental health in the world.  ...  Buiu and R. Mihu for all the support they give for all the manuscripts and ideas.  ... 
doi:10.4314/ijest.v13i3.5 fatcat:5aybun2r35hyznydol2y47bs2i

A Review on Smart Home based on Ambient Intelligence, Contextual Awareness and Internet of Things (IoT) in Constructing Thermally Comfortable and Energy Aware House

Foo Che-Bin, Ong Hang-See
2016 Research Journal of Applied Sciences Engineering and Technology  
In this review, the context-aware application for smart home is discussed extensively in term of thermal comfort and energy optimization base on occupancy.  ...  This survey intends to identify the techniques surrounding a construction of a house that is thermally comfortable and energy aware and IoT enabled.  ...  Application are developed using reusable components such as libraries, frameworks and toolkits for processing context information and sensors value.  ... 
doi:10.19026/rjaset.12.2752 fatcat:lg3fe7mpdvd2jffpukl4meqove

Smart CEI Moncloa: An IoT-based Platform for People Flow and Environmental Monitoring on a Smart University Campus

Manuel Alvarez-Campana, Gregorio López, Enrique Vázquez, Víctor Villagrá, Julio Berrocal
2017 Sensors  
important in this context.  ...  The IoT platform deployed across the engineering schools of the Universidad Politécnica de Madrid in the Moncloa Campus of International Excellence represents a good example of a test bench for experimentation  ...  Use Case 3: Library Application This use case represents an example of how the information from the people flow monitoring sensors and the environmental sensors can be combined resulting in value added  ... 
doi:10.3390/s17122856 pmid:29292790 pmcid:PMC5751704 fatcat:gdrmhdcicvfvzfxkybtm6h5v74

IoT and Big Data Analytics for Smart Buildings: A Survey

Abdellah Daissaoui, Azedine Boulmakoul, Lamia Karim, Ahmed Lbath
2020 Procedia Computer Science  
Current smart building management systems incorporate a variety of sensors, actuators and dedicated networks.  ...  Current smart building management systems incorporate a variety of sensors, actuators and dedicated networks.  ...  A D'Elia et al [18] intelligent building maintenance platform developed a set of contextual intelligent maintenance applications that used environmental sensors to monitor related variables, such as  ... 
doi:10.1016/j.procs.2020.03.021 fatcat:jamzgmue2vhfzlide3beo2hjku

Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings

Eleni Fotopoulou, Anastasios Zafeiropoulos, Fernando Terroso-Sáenz, Umutcan Şimşek, Aurora González-Vidal, George Tsiolis, Panagiotis Gouvas, Paris Liapis, Anna Fensel, Antonio Skarmeta
2017 Sensors  
The combination of such technologies has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental,  ...  services that can lead to occupants' behavioral change towards actions that can have a positive impact on energy efficiency.  ...  well as the implementation of the ENTROPY platform; Aurora González-Vidal developed a set of data mining mechanisms; Panagiotis Gouvas developed a set of semantic reasoning mechanisms based on Drools;  ... 
doi:10.3390/s17092054 pmid:28880227 pmcid:PMC5620952 fatcat:ctkvbkujj5gedhdfjybwcs2k2y

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey [article]

Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis C. Fong
2019 arXiv   pre-print
Machine learning and big data analytics will undoubtedly play a critical role to enable the delivery of such smart services.  ...  In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics.  ...  TABLE III : III VARIOUS SMART SENSORS USEFUL IN THE CONTEXT OF SBs Sensor Measurement Category Infrared sensor User presence in a room Environmental sensors Video cameras Human actions Environmental  ... 
arXiv:1904.01460v2 fatcat:rz2gsyurkradlkqvfankw3zue4

Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control

Jude Adeleke, Deshendran Moodley, Gavin Rens, Aderemi Adewumi
2017 Sensors  
Semantic Sensor Web technologies have been well researched and used for environmental monitoring applications to expose sensor data for analysis in order to provide responsive actions in situations of  ...  This study integrates a statistical machine learning based predictive model in a Semantic Sensor Web using stream reasoning. The approach is evaluated in an indoor air quality monitoring case study.  ...  Naidoo and members of his team Jafta and Miss Busisiwe Shezi, for their communications and field works on the cohort study.  ... 
doi:10.3390/s17040807 pmid:28397776 pmcid:PMC5422168 fatcat:6pnv3bnsxrdz3nmwlgpndzbpgu

Knowledge Integration for Low Carbon Transition: The Case of Energy Retrofit

Maurizio Sibilla, Esra Kurul
2018 European Journal of Sustainable Development  
Energy Retrofit using a cognitive mapping technique.  ...  This paper, which first summarizes the conceptual framework that was elaborated in an earlier phase, focuses on the methodological approach that was used to define the relevant information networks concerning  ...  technology; Occupancy sensors; Monitoring Methodology; Monitor the energy consumption; Legislation to reduce carbon emission Low Carbon Systems Performing; Political vision Economic aspects  ... 
doi:10.14207/ejsd.2018.v7n3p493-506 fatcat:fnwd5livfnhs3bctlrzdyas3wi

Human Work Interaction Design of the Smart University [chapter]

José Abdelnour-Nocera, Samia Oussena, Catherine Burns
2015 IFIP Advances in Information and Communication Technology  
The smart university proposes a novel platform that will provide context aware information to students through the integration of learning analytics with data sensed using cyberphysical devices in order  ...  In this paper we present human work interaction design challenges and opportunities for the vision of the Smart University as a platform that provides foundational context data to deliver the university  ...  For instance, Hierarchical Task Analysis [8] and Work Domain Analysis [9, 10] are used to study goal-directed tasks and to map the work environmental constraints and opportunities for behaviour.  ... 
doi:10.1007/978-3-319-27048-7_9 fatcat:nrdiclwwtbhj5noifrr7caur5a

IoT and Big Data Analytics for Smart Buildings: A Survey

A Daissaoui, A Boulmakoul, L Karim, A Lbath
2020 Journal of Ubiquitous Systems and Pervasive Networks  
Current smart building management systems incorporate a variety of IoT technologies, a structured data storage environment and analytics data tools.  ...  The major technological trends have changed the building sector and revealing new understanding on how data generated by all these new technologies can be used to achieve the essence of smart building  ...  A D'Elia et al [5] smart Building maintenance platform developed a set of contextual intelligent maintenance applications that used environmental sensors to monitor related variables, such as temperature  ... 
doi:10.5383/juspn.13.01.004 fatcat:ytqqqo6anfd2jemjlzrn52ucli
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