Sensorization and Intelligent Systems in Energetic Sustainable Environments

Silva, Fábio; Cuevas, David; Analide, César; Neves, José; Marques, Jorge S.

doi:10.1007/978-3-642-32524-3_25

Cited by 6 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The People Help Energy Savings and Sustainability (PHESS) project is being developed to help drive awareness towards the need for sustainable and energy efficient behaviors [23]. The framework is based on distributed system of multidevices that generate data towards the creation and maintenance of indicators in the platform [24].…”

Section: A Phess Driving Systemmentioning

confidence: 99%

Assessing Road Traffic Expression

Silva¹,

Analide²,

Nováis³

2014

IJIMAI

Self Cite

View full text Add to dashboard Cite

-Road traffic is a problem which is increasing in cities with large population. Unrelated to this fact the number of portable and wearable devices has also been increasing throughout the population of most countries. With this advent, the capacity to monitor and register data about people habits and locations as well as more complex data such as intensity and strength of movements has created an opportunity to contribute to the general wealth and comfort within these environments. Ambient Intelligence and Intelligent Decision Making processes can benefit from the knowledge gathered by these devices to improve decisions on everyday tasks such as deciding navigation routes by car, bicycle or other means of transportation and avoiding route perils. The concept of computational sustainability may also be applied to this problem. Current applications in this area demonstrate the usefulness of real time system that inform the user of certain conditions in the surrounding area. On the other hand, the approach presented in this work aims to describe models and approaches to automatically identify current states of traffic inside cities and use methods from computer science to improve overall comfort and the sustainability of road traffic both with the user and the environment in mind. Such objective is delivered by analyzing real time contributions from those mobile ubiquitous devices to identifying problematic situations and areas under a defined criteria that have significant influence towards a sustainable use of the road transport infrastructure.

show abstract

Section: A Phess Driving Systemmentioning

confidence: 99%

Assessing Road Traffic Expression

Silva¹,

Analide²,

Nováis³

2014

IJIMAI

Self Cite

View full text Add to dashboard Cite

show abstract

“…The presence of indicators to assess sustainability is an established practice [14], [15], however it does not give any information on how to guarantee or plan sustainability. In fact, indicators only inform about the current status of a system.…”

Section: B Sustainable Indicatorsmentioning

confidence: 99%

“…The sustainable assessment used in PHESS, uses different indicators within each dimension of the sustainability definition. This approach was also used by researchers, which used these indicators to guide strategic options and perform decisions based on the foreseeable impact of such measures [14], [15]. The indicators used in this work are devised to be directly comparable to each other regardless of units or the specificity of each indicator.…”

Section: B Sustainability Assessmentmentioning

confidence: 99%

Gamification, Social Networks and Sustainable Environments

Silva¹,

Analide²,

Rosa³

et al. 2013

IJIMAI

Self Cite

View full text Add to dashboard Cite

Intelligent environments and ambient intelligence enabled systems provide means to gather rich information from both environments and its users. With the help of such systems, it is possible to foster communities of ambient intelligence systems with community driven knowledge, which is created by individual actions and setups in each of the environments. Such arrangements provides the potential to build systems that promote better practices and more efficient and sustainable environments by promoting the community best examples and engaging users to adopt and develop proactive behaviors to improve their standings in the community. This work aims to use knowledge from communities of intelligent environments to their own benefit. The approach presented in this work uses information from different environments, ranking them according to their sustainability assessment. Recommendations are then computed using similarity and clustering functions ranking users and environments, updating their previous records and launching new recommendations in the process. Gamification concepts are used in order to keep users motivation and engage them actively to produce better results in terms of sustainability

show abstract

“…The sustainable assessment used in PHESS, uses different indicators within each dimension of the sustainability definition. This approach was also used by some authors, which used these indicators to guide strategic options and perform decisions based on the foreseeable impact of such measures [14], [15]. These indicators represent a ratio between a positive and negative contribution to sustainability and their values are computed in the -1 to 1 range.…”

Section: Sustainability Assessmentmentioning

confidence: 99%

Social Networks Gamification for Sustainability Recommendation Systems

Silva

Analide

Rosa

et al. 2013

Distributed Computing and Artificial Intelligence

Self Cite

View full text Add to dashboard Cite

Intelligent environments and ambient intelligence provide means to monitor physical environments and to learn from users, generating data to be used to promote sustainability. Communities of intelligent environments offer different answers and behaviors which can be computed and ranked. Such rankings are bound to be dynamic as users and environments exchange interactions on a daily basis. This work aims to use knowledge from communities of intelligent environments to their own benefit. The approach presented in this work uses information from each environment, ranking them according to their sustainability assessment. Recommendations are then computed using similarity and clustering functions ranking users and environments, updating their previous records and launching new recommendations in the process.

show abstract

Sensorization and Intelligent Systems in Energetic Sustainable Environments

Cited by 6 publications

References 11 publications

Assessing Road Traffic Expression

Assessing Road Traffic Expression

Gamification, Social Networks and Sustainable Environments

Social Networks Gamification for Sustainability Recommendation Systems

Contact Info

Product

Resources

About